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Valdés S, Doulatram-Gamgaram V, Maldonado-Araque C, García-Escobar E, García-Serrano S, Oualla-Bachiri W, García-Vivanco M, Garrido JL, Gil V, Martín-Llorente F, Calle-Pascual A, Castaño L, Delgado E, Menéndez E, Franch-Nadal J, Gaztambide S, Girbés J, Chaves FJ, Galán-García JL, Aguilera-Venegas G, Vallvé JC, Amigó N, Guardiola M, Ribalta J, Rojo-Martínez G. Association between exposure to air pollution and blood lipids in the general population of Spain. Eur J Clin Invest 2024; 54:e14101. [PMID: 37795744 DOI: 10.1111/eci.14101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/13/2023] [Accepted: 09/23/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND AND AIMS We aimed to assess the associations of exposure to air pollutants and standard and advanced lipoprotein measures, in a nationwide sample representative of the adult population of Spain. METHODS We included 4647 adults (>18 years), participants in the national, cross-sectional, population-based di@bet.es study, conducted in 2008-2010. Standard lipid measurements were analysed on an Architect C8000 Analyzer (Abbott Laboratories SA). Lipoprotein analysis was made by an advanced 1 H-NMR lipoprotein test (Liposcale®). Participants were assigned air pollution concentrations for particulate matter <10 μm (PM10 ), <2.5 μm (PM2.5 ) and nitrogen dioxide (NO2 ), corresponding to the health examination year, obtained by modelling combined with measurements taken at air quality stations (CHIMERE chemistry-transport model). RESULTS In multivariate linear regression models, each IQR increase in PM10 , PM2.5 and NO2 was associated with 3.3%, 3.3% and 3% lower levels of HDL-c and 1.3%, 1.4% and 1.1% lower HDL particle (HDL-p) concentrations (p < .001 for all associations). In multivariate logistic regression, there was a significant association between PM10 , PM2.5 and NO2 concentrations and the odds of presenting low HDL-c (<40 mg/dL), low HDL-p ( CONCLUSIONS Our study shows an association between the exposure to air pollutants and blood lipids in the general population of Spain, suggesting a link to atherosclerosis.
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Affiliation(s)
- Sergio Valdés
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Viyey Doulatram-Gamgaram
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
| | - Cristina Maldonado-Araque
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Eva García-Escobar
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Sara García-Serrano
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Wasima Oualla-Bachiri
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Marta García-Vivanco
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) - División de Contaminación Atmosférica, Madrid, Spain
| | - Juan Luis Garrido
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) - División de Contaminación Atmosférica, Madrid, Spain
| | - Victoria Gil
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) - División de Contaminación Atmosférica, Madrid, Spain
| | - Fernando Martín-Llorente
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) - División de Contaminación Atmosférica, Madrid, Spain
| | - Alfonso Calle-Pascual
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition and Instituto de Investigación Sanitaria University Hospital S. Carlos (IdISSC), Department Medicine II, Universidad Complutense (UCM), Madrid, Spain
| | - Luis Castaño
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Hospital Universitario Cruces, BioCruces, UPV/EHU, Barakaldo, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Elías Delgado
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias/University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Edelmiro Menéndez
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias/University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Josep Franch-Nadal
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- EAP Raval Sud, Institut Català de la Salut, Red GEDAPS, Primary Care, Unitat de Suport a la Recerca (IDIAP - Fundació Jordi Gol), Barcelona, Spain
| | - Sonia Gaztambide
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario Cruces - BioCruces Bizkaia - UPV-EHU, Baracaldo, Barcelona, Spain
| | - Joan Girbés
- Diabetes Unit, Hospital Arnau de Vilanova, Valencia, Spain
| | - F Javier Chaves
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Genomic Studies and Genetic Diagnosis Unit, Fundación de Investigación del Hospital Clínico de Valencia - INCLIVA, Valencia, Spain
| | | | | | - Joan Carles Vallvé
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Rovira i Virgili University, IISPV, Reus, Spain
| | - Núria Amigó
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Metabolomics Platform, Universitat Rovira i Virgili, IISRV, Reus, Spain
- Biosfer Teslab, Reus, Spain
| | - Montse Guardiola
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Rovira i Virgili University, IISPV, Reus, Spain
| | - Josep Ribalta
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Rovira i Virgili University, IISPV, Reus, Spain
| | - Gemma Rojo-Martínez
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
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Bretón I, Ballesteros-Pomar MD, Calle-Pascual A, Alvarez-Sala LA, Rubio-Herrera MA. Micronutrients in Pregnancy after Bariatric Surgery: A Narrative Review. J Clin Med 2023; 12:5429. [PMID: 37629473 PMCID: PMC10455502 DOI: 10.3390/jcm12165429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/14/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
Bariatric surgery is increasingly used in women of childbearing age due to the rising prevalence of obesity and the effectiveness and availability of this treatment. Pregnancy in women with previous bariatric surgery deserves special attention. Weight loss induced by surgery reduces the risks that obesity poses to pregnancy. But on the other hand, decreased intake and malabsorption may increase the risk of malnutrition and micronutrient deficiency and negatively affect maternal and foetal health. The aim of this narrative review is to provide an updated analysis of the impact of different bariatric surgery techniques on mineral and micronutrient nutritional status during pregnancy and the possible effect on maternal-foetal health.
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Affiliation(s)
- Irene Bretón
- Department of Endocrinology and Nutrition, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, 28007 Madrid, Spain
- Department of Medicine, Facultad de Medicina, Universidad Complutense, 28040 Madrid, Spain
| | - María D. Ballesteros-Pomar
- Department of Endocrinology and Nutrition, Complejo Asistencial Universitario de León, 24008 León, Spain
| | - Alfonso Calle-Pascual
- Department of Medicine, Facultad de Medicina, Universidad Complutense, 28040 Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, 28040 Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
| | - Luis Antonio Alvarez-Sala
- Department of Medicine, Facultad de Medicina, Universidad Complutense, 28040 Madrid, Spain
- Department of Internal Medicine, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain
| | - Miguel Angel Rubio-Herrera
- Department of Medicine, Facultad de Medicina, Universidad Complutense, 28040 Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, 28040 Madrid, Spain
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3
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Valdés S, Doulatram-Gamgaram V, Maldonado-Araque C, Lago-Sampedro A, García-Escobar E, García-Serrano S, García-Vivanco M, Garrido Juan L, Theobald MR, Gil V, Martín-Llorente F, Ocon P, Calle-Pascual A, Castaño L, Delgado E, Menendez E, Franch-Nadal J, Gaztambide S, Girbés J, Chaves FJ, Galán-García JL, Aguilera-Venegas G, Gutierrez-Repiso C, Fernández-García JC, Colomo N, Soriguer F, García-Fuentes E, Rojo-Martínez G. Ambient air pollution and thyroid function in Spanish adults. A nationwide population-based study (Di@bet.es study). Environ Health 2022; 21:76. [PMID: 35978396 PMCID: PMC9387071 DOI: 10.1186/s12940-022-00889-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 07/29/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Recent reports have suggested that air pollution may impact thyroid function, although the evidence is still scarce and inconclusive. In this study we evaluated the association of exposure to air pollutants to thyroid function parameters in a nationwide sample representative of the adult population of Spain. METHODS The Di@bet.es study is a national, cross-sectional, population-based survey which was conducted in 2008-2010 using a random cluster sampling of the Spanish population. The present analyses included 3859 individuals, without a previous thyroid disease diagnosis, and with negative thyroid peroxidase antibodies (TPO Abs) and thyroid-stimulating hormone (TSH) levels of 0.1-20 mIU/L. Participants were assigned air pollution concentrations for particulate matter <2.5μm (PM2.5) and Nitrogen Dioxide (NO2), corresponding to the health examination year, obtained by means of modeling combined with measurements taken at air quality stations (CHIMERE chemistry-transport model). TSH, free thyroxine (FT4), free triiodothyronine (FT3) and TPO Abs concentrations were analyzed using an electrochemiluminescence immunoassay (Modular Analytics E170 Roche). RESULTS In multivariate linear regression models, there was a highly significant negative correlation between PM2.5 concentrations and both FT4 (p<0.001), and FT3 levels (p<0.001). In multivariate logistic regression, there was a significant association between PM2.5 concentrations and the odds of presenting high TSH [OR 1.24 (1.01-1.52) p=0.043], lower FT4 [OR 1.25 (1.02-1.54) p=0.032] and low FT3 levels [1.48 (1.19-1.84) p=<0.001] per each IQR increase in PM2.5 (4.86 μg/m3). There was no association between NO2 concentrations and thyroid hormone levels. No significant heterogeneity was seen in the results between groups of men, pre-menopausal and post-menopausal women. CONCLUSIONS Exposures to PM2.5 in the general population were associated with mild alterations in thyroid function.
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Affiliation(s)
- Sergio Valdés
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain.
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain.
| | - Viyey Doulatram-Gamgaram
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
| | - Cristina Maldonado-Araque
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Ana Lago-Sampedro
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Eva García-Escobar
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Sara García-Serrano
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Marta García-Vivanco
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) - División de Contaminación Atmosférica, Madrid, Spain
| | - Luis Garrido Juan
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) - División de Contaminación Atmosférica, Madrid, Spain
| | - Mark Richard Theobald
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) - División de Contaminación Atmosférica, Madrid, Spain
| | - Victoria Gil
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) - División de Contaminación Atmosférica, Madrid, Spain
| | - Fernando Martín-Llorente
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT) - División de Contaminación Atmosférica, Madrid, Spain
| | - Pilar Ocon
- UGC de Laboratorio (Bioquímica), Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Alfonso Calle-Pascual
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition and Instituto de Investigación, Department Medicine II, Sanitaria University Hospital S. Carlos (IdISSC), Universidad Complutense (UCM), Madrid, Spain
| | - Luis Castaño
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Hospital Universitario Cruces, UPV/EHU, BioCrucesBarakaldo, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Elías Delgado
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias / University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Edelmiro Menendez
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias / University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Josep Franch-Nadal
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- EAP Raval Sud, Institut Català de la Salut, Unitat de Suport a la Recerca (IDIAP - Fundació Jordi Gol), Red GEDAPS, Primary Care, Barcelona, Spain
| | - Sonia Gaztambide
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- EAP Raval Sud, Institut Català de la Salut, Unitat de Suport a la Recerca (IDIAP - Fundació Jordi Gol), Red GEDAPS, Primary Care, Barcelona, Spain
| | - Joan Girbés
- Genomic Studies and Genetic Diagnosis Unit, Fundación de Investigación del Hospital Clínico de Valencia - INCLIVA, Valencia, Spain
| | - F Javier Chaves
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Genomic Studies and Genetic Diagnosis Unit, Fundación de Investigación del Hospital Clínico de Valencia - INCLIVA, Valencia, Spain
| | | | | | - Carolina Gutierrez-Repiso
- UGC de Endocrinología y Nutrición. Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - José Carlos Fernández-García
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
| | - Natalia Colomo
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Eduardo García-Fuentes
- Unidad de Gestión Clínica de Aparato Digestivo, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga - IBIMA, Málaga, Spain
- CIBER Enfermedades Hepáticas y Digestivas - CIBEREHD, Instituto de Salud Carlos III, Málaga, Spain
| | - Gemma Rojo-Martínez
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
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García-Escobar E, Valdés S, Soriguer F, Vendrell J, Urrutia-Etxebarria IM, Maldonado-Araque C, Ortega E, Ocón P, Montanya E, Menéndez E, Lago-Sampedro A, González-Frutos T, Gomis R, Goday A, García-Serrano S, Galán-García JL, Castell C, Bordiú E, Badía R, Aguilera-Venegas G, Girbés J, Gaztambide S, Delgado E, Chaves FJ, Castaño L, Calle-Pascual A, Rojo-Martínez G, Franch-Nadal J. Fatty liver index as a predictor for type 2 diabetes in subjects with normoglycemia in a nationwide cohort study. Sci Rep 2021; 11:16453. [PMID: 34385479 PMCID: PMC8361016 DOI: 10.1038/s41598-021-95546-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 07/20/2021] [Indexed: 01/21/2023] Open
Abstract
Our aim was to evaluate whether fatty liver index (FLI) is associated with the risk of type 2 diabetes (T2DM) development within the Spanish adult population and according to their prediabetes status; additionally, to examine its incremental predictive value regarding traditional risk factors. A total of 2260 subjects (Prediabetes: 641 subjects, normoglycemia: 1619 subjects) from the Di@bet.es cohort study were studied. Socio-demographic, anthropometric, clinical data and survey on habits were recorded. An oral glucose tolerance test was performed and fasting determinations of glucose, lipids and insulin were made. FLI was calculated and classified into three categories: Low (< 30), intermediate (30–60) and high (> 60). In total, 143 people developed diabetes at follow-up. The presence of a high FLI category was in all cases a significant independent risk factor for the development of diabetes. The inclusion of FLI categories in prediction models based on different conventional T2DM risk factors significantly increase the prediction power of the models when all the population was considered. According to our results, FLI might be considered an early indicator of T2DM development even under normoglycemic condition. The data also suggest that FLI could provide additional information for the prediction of T2DM in models based on conventional risk factors.
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Affiliation(s)
- E García-Escobar
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain. .,Endocrinology and Nutrition Department, Biomedical Research Institute of Malaga (IBIMA), Regional University Hospital of Malaga, Málaga, Spain.
| | - S Valdés
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Endocrinology and Nutrition Department, Biomedical Research Institute of Malaga (IBIMA), Regional University Hospital of Malaga, Málaga, Spain
| | - F Soriguer
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Endocrinology and Nutrition Department, Biomedical Research Institute of Malaga (IBIMA), Regional University Hospital of Malaga, Málaga, Spain
| | - J Vendrell
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Rovira i Virgili University; Department of Endocrinology and Nutrition, Hospital Universitario Joan XXIII, Institut d'Investigacions Sanitaries Pere Virgili, Tarragona, Spain
| | - I M Urrutia-Etxebarria
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Cruces University Hospital, BioCruces Bizkaia, UPV/EHU, Endo-ERN, Barakaldo, Spain.,Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain
| | - C Maldonado-Araque
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Endocrinology and Nutrition Department, Biomedical Research Institute of Malaga (IBIMA), Regional University Hospital of Malaga, Málaga, Spain
| | - E Ortega
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute - IDIBAPS, Hospital Clínic of Barcelona, Barcelona, Spain.,Spanish Biomedical Research Network in Physiopathology of Obesity and Nutrition (CIBEROBN), Barcelona, Spain
| | - P Ocón
- General Laboratory, Regional University Hospital of Malaga, Málaga, Spain
| | - E Montanya
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Bellvitge Biomedical Research Institute (IDIBELL), University of Barcelona, Bellvitge University Hospital, Barcelona, Spain
| | - E Menéndez
- Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain.,Department of Endocrinology and Nutrition, Central University Hospital of Asturias/University of Oviedo, Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
| | - A Lago-Sampedro
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Endocrinology and Nutrition Department, Biomedical Research Institute of Malaga (IBIMA), Regional University Hospital of Malaga, Málaga, Spain
| | - T González-Frutos
- Cruces University Hospital, BioCruces Bizkaia, UPV/EHU, Endo-ERN, Barakaldo, Spain
| | - R Gomis
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute - IDIBAPS, Hospital Clínic of Barcelona, Barcelona, Spain
| | - A Goday
- Spanish Biomedical Research Network in Physiopathology of Obesity and Nutrition (CIBEROBN), Barcelona, Spain.,Endocrinology and Nutrition Department, Hospital del Mar/Medicine Departament, Univeristat Autonoma de Barcelona, Barcelona, Spain
| | - S García-Serrano
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Endocrinology and Nutrition Department, Biomedical Research Institute of Malaga (IBIMA), Regional University Hospital of Malaga, Málaga, Spain
| | - J L Galán-García
- Department of Applied Mathematics, Malaga University, Málaga, Spain
| | - C Castell
- Department of Health, Public Health Agency of Catalonia, Barcelona, Spain
| | - E Bordiú
- Department of Endocrinology and Nutrition, San Carlos University Hospital of Madrid, Madrid, Spain
| | - R Badía
- Endocrinology and Nutrition Department, Biomedical Research Institute of Malaga (IBIMA), Regional University Hospital of Malaga, Málaga, Spain
| | | | - J Girbés
- Diabetes Unit, Hospital Arnau de Vilanova, Valencia, Spain
| | - S Gaztambide
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Cruces University Hospital, BioCruces Bizkaia, UPV/EHU, Endo-ERN, Barakaldo, Spain.,Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain
| | - E Delgado
- Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain.,Department of Endocrinology and Nutrition, Central University Hospital of Asturias/University of Oviedo, Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
| | - F J Chaves
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Genomic and Genetic Diagnosis Unit, Research Foundation of Valencia University Clinical Hospital-INCLIVA, Valencia, Spain
| | - L Castaño
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Cruces University Hospital, BioCruces Bizkaia, UPV/EHU, Endo-ERN, Barakaldo, Spain.,Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain
| | - A Calle-Pascual
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Department of Endocrinology and Nutrition, San Carlos University Hospital of Madrid, Madrid, Spain
| | - G Rojo-Martínez
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain. .,Endocrinology and Nutrition Department, Biomedical Research Institute of Malaga (IBIMA), Regional University Hospital of Malaga, Málaga, Spain.
| | - J Franch-Nadal
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,EAP Raval Sud, Catalan Institute of Health, GEDAPS Network, Primary Care, Research Support Unit (IDIAP - Jordi Gol Foundation), Barcelona, Spain
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5
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Maldonado-Araque C, Valdés S, Badía-Guillén R, Lago-Sampedro A, Colomo N, Garcia-Fuentes E, Gutierrez-Repiso C, Goday A, Calle-Pascual A, Castaño L, Castell C, Delgado E, Menendez E, Franch-Nadal J, Gaztambide S, Girbés J, Chaves FJ, Soriguer F, Rojo-Martínez G. Iodine Deficiency and Mortality in Spanish Adults: Di@bet.es Study. Thyroid 2021; 31:106-114. [PMID: 32781944 PMCID: PMC7840306 DOI: 10.1089/thy.2020.0131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Background: Longitudinal data assessing the impact of iodine deficiency (ID) on mortality are scarce. We aimed to study the association between the state of iodine nutrition and the risk of total and cause-specific mortality in a representative sample of the Spanish adult population. Methods: We performed a longitudinal observational study to estimate mortality risk according to urinary iodine (UI) concentrations using a sample of 4370 subjects >18 years representative of the Spanish adult population participating in the nationwide study Di@bet.es (2008-2010). We used Cox regression to assess the association between UI at the start of the study (<50, 50-99, 100-199, 200-299, and ≥300 μg/L) and mortality during follow-up (National death registry-end of follow-up December 2016) in raw models, and adjusted for possible confounding variables: age, sex, educational level, hypertension, diabetes, obesity, chronic kidney disease, smoking, hypercholesterolemia, thyroid dysfunction, diagnosis of cardiovascular disease or cancer, area of residence, physical activity, adherence to Mediterranean diet, dairy and iodinated salt intake. Results: A total of 254 deaths were recorded during an average follow-up period of 7.3 years. The causes of death were cardiovascular 71 (28%); cancer 85 (33.5%); and other causes 98 (38.5%). Compared with the reference category with adequate iodine nutrition (UI 100-300 μg/L), the hazard ratios (HRs) of all-cause mortality in the category with UI ≥300 μg/L were 1.04 (95% confidence interval [CI 0.54-1.98]); however, in the categories with 50-99 UI and <50 μg/L, the HRs were 1.29 [CI 0.97-1.70] and 1.71 [1.18-2.48], respectively (p for trend 0.004). Multivariate adjustment did not significantly modify the results. Conclusions: Our data indicate an excess mortality in individuals with moderate-severe ID adjusted for other possible confounding factors.
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Affiliation(s)
- Cristina Maldonado-Araque
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Sergio Valdés
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Address correspondence to: Sergio Valdés, MD, PhD, Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, IBIMA, Plaza del Hospital Civil s/n, Malaga 29009, Spain
| | - Rocío Badía-Guillén
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
| | - Ana Lago-Sampedro
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Natalia Colomo
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Eduardo Garcia-Fuentes
- UGC de Aparato Digestivo, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
| | - Carolina Gutierrez-Repiso
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario Virgen de la Victoria, Instituto de Investigagión Biomedica de Málaga-IBIMA, Málaga, Spain
| | - Albert Goday
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
| | - Alfonso Calle-Pascual
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario S. Carlos de Madrid, Madrid, Spain
| | - Luis Castaño
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Hospital Universitario Cruces, BioCruces Bizkaia, UPV/EHU, Barakaldo, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Conxa Castell
- Department of Health, Public Health Agency of Catalonia, Barcelona, Spain
| | - Elías Delgado
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias/University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Edelmiro Menendez
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias/University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Josep Franch-Nadal
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- EAP Raval Sud, Institut Català de la Salut, Red GEDAPS, Primary Care, Unitat de Suport a la Recerca (IDIAP—Fundació Jordi Gol), Barcelona, Spain
| | - Sonia Gaztambide
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario Cruces, BioCruces Bizkaia, UPV/EHU, Barakaldo, Spain
| | - Joan Girbés
- Diabetes Unit, Hospital Arnau de Vilanova, Valencia, Spain
| | - Francisco Javier Chaves
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Genomic Studies and Genetic Diagnosis Unit, Fundación de Investigación del Hospital Clínico de Valencia-INCLIVA, Valencia, Spain
| | - Federico Soriguer
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Gemma Rojo-Martínez
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomedica de Málaga-IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
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6
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Runkle I, de Miguel MP, Barabash A, Cuesta M, Diaz Á, Duran A, Familiar C, de la Torre NG, Herraiz MÁ, Izquierdo N, Diaz Á, Marcuello C, Matia P, Melero V, Montañez C, Moraga I, Perez-Ferre N, Perez N, Assaf-Balut C, Rubio MÁ, Ruiz-Sanchez JG, Sanabria C, Torrejon MJ, Valerio J, Del Valle L, Calle-Pascual A. Early Levothyroxine Treatment for Subclinical Hypothyroidism or Hypothyroxinemia in Pregnancy: The St Carlos Gestational and Thyroid Protocol. Front Endocrinol (Lausanne) 2021; 12:743057. [PMID: 34737722 PMCID: PMC8560890 DOI: 10.3389/fendo.2021.743057] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 09/22/2021] [Indexed: 11/17/2022] Open
Abstract
UNLABELLED The optimal maternal levels of thyroid hormones (TH) during the first trimester of gestation have not been established, nor has the ideal moment to initiate levothyroxine treatment (LT) to improve the evolution of gestation and fetal development. Cut-off points for Thyroid-stimulating hormone (TSH) <2.5 µIU/mL and free thyroxine (FT4)>7.5 pg/mL have been recommended. There are no data on whether initiation of LT <9th Gestational Week (GW) can have a favourable impact. OBJECTIVE To define the TSH/FT4 percentiles corresponding with 2.5 µIU/mL and 7.5 pg/mL levels, respectively, at GW8 (Study 1), and evaluate the effects of protocol-based LT before GW9 on gestation evolution, in women with TSH ≥2.5 µIU/mL and/or FT4≤ 7.5 pg/mL (study 2). SUBJECTS 2768 consecutive pregnant women attending the first gestational visit from 2013-2014 and 3026 from 2015-2016 were eligible for Study I and 2 respectively. A final 2043 (study 1) and 2069 (study 2) women were assessed in these studies. RESULTS Study 1: The FT4 level of 7.5 pg/mL corresponds with the 17.9th percentile, a TSH level of 2.5 µIU/mL with the 75.8th. Women with TSH ≥2.5 µIU/mL had a history of fetal losses more frequently than those <2.5 (OR 2.33 (95%CI): 1.58-3.12), as did those with FT4 ≤7.5 pg/ml compared to those >7.5 (OR 4.81; 3.25-8.89). Study 2: A total of 1259 women had optimal TSH/FT4 levels (Group 1), 672 (32.4%, Group 2) had suboptimal TSH or T4l, and 138 (6.7%, Group 3) had suboptimal values of both. 393 (58.5%) in Group 2 and 88 (63.8%) in Group 3 started LT before GW9. Mean (SD) GW24 levels were TSH: 1.96 ± 1.22 µIU/mL and FT4: 7.07 ± 1.25 pg/mL. The highest FT4 value was 12.84 pg/mL. The adjusted risk for an adverse event if LT was started early was 0.71 (0.43-0.91) for Group 2 and 0.80 (0.66-0.94) for Group 3. CONCLUSIONS Early LT in women with suboptimum levels of TSH/FT4 (≥2.5µIU/mL/≤7.5 pg/ml) at or before GW9 is safe and improves gestation progression. These data support the recommendation to adopt these cut-off points for LT initiation, which should be started as early as possible.
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Affiliation(s)
- Isabelle Runkle
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina II Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - María Paz de Miguel
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina II Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Ana Barabash
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina II Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Martin Cuesta
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Ángel Diaz
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina II Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Alejandra Duran
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina II Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Cristina Familiar
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Nuria García de la Torre
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Miguel Ángel Herraiz
- Medicina II Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
- Gynecology and Obstetrics Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Nuria Izquierdo
- Medicina II Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
- Gynecology and Obstetrics Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Ángel Diaz
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Clara Marcuello
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Pilar Matia
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina II Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Verónica Melero
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Carmen Montañez
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Inmaculada Moraga
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Natalia Perez-Ferre
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Noelia Perez
- Gynecology and Obstetrics Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Carla Assaf-Balut
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina II Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Miguel Ángel Rubio
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina II Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Jorge Gabriel Ruiz-Sanchez
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Concepción Sanabria
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - María José Torrejon
- Clinical Laboratory Department Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Johanna Valerio
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Laura Del Valle
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Alfonso Calle-Pascual
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina II Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
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7
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Rojo-Martínez G, Valdés S, Soriguer F, Vendrell J, Urrutia I, Pérez V, Ortega E, Ocón P, Montanya E, Menéndez E, Lago-Sampedro A, González-Frutos T, Gomis R, Goday A, García-Serrano S, García-Escobar E, Galán-García JL, Castell C, Badía-Guillén R, Aguilera-Venegas G, Girbés J, Gaztambide S, Franch-Nadal J, Delgado E, Chaves FJ, Castaño L, Calle-Pascual A. Incidence of diabetes mellitus in Spain as results of the nation-wide cohort di@bet.es study. Sci Rep 2020; 10:2765. [PMID: 32066839 PMCID: PMC7026031 DOI: 10.1038/s41598-020-59643-7] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Accepted: 01/28/2020] [Indexed: 12/22/2022] Open
Abstract
Our aim was to determine the incidence of type 2 diabetes mellitus in a nation-wide population based cohort from Spain (di@bet.es study). The target was the Spanish population. In total 5072 people older than 18 years,were randomly selected from all over Spain). Socio-demographic and clinical data, survey on habits (physical activity and food consumption) and weight, height, waist, hip and blood pressure were recorder. A fasting blood draw and an oral glucose tolerance test were performed. Determinations of serum glucose were made. In the follow-up the same variables were collected and HbA1c was determined. A total of 2408 subjects participated in the follow-up. In total, 154 people developed diabetes (6.4% cumulative incidence in 7.5 years of follow-up). The incidence of diabetes adjusted for the structure of age and sex of the Spanish population was 11.6 cases/1000 person-years (IC95% = 11.1–12.1). The incidence of known diabetes was 3.7 cases/1000 person-years (IC95% = 2.8–4.6). The main risk factors for developing diabetes were the presence of prediabetes in cross-sectional study, age, male sex, obesity, central obesity, increase in weight, and family history of diabetes. This work provides data about population-based incidence rates of diabetes and associated risk factors in a nation-wide cohort of Spanish population.
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Affiliation(s)
- G Rojo-Martínez
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain. .,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain.
| | - S Valdés
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - F Soriguer
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - J Vendrell
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Department of Endocrinology and Nutrition, University Hospital Joan XXIII, Pere Virgili Institute (IISPV), Rovira I Virgili University, Tarragona, Spain
| | - I Urrutia
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Cruces University Hospital, Biocruces Bizkaia Health Research Institute, UPV/EHU, Barakaldo, Spain.,Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain
| | - V Pérez
- General Laboratory. Regional University Hospital of Malaga, Malaga, Spain
| | - E Ortega
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute - IDIBAPS, Hospital Clínic of Barcelona, Barcelona, Spain.,Spanish Biomedical Research Network in physiopathology of obesity and Nutrition (CIBEROBN), Barcelona, Spain
| | - P Ocón
- General Laboratory. Regional University Hospital of Malaga, Malaga, Spain
| | - E Montanya
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Bellvitge Biomedical Research Institute (IDIBELL), University of Barcelona, Bellvitge University Hospital, Barcelona, Spain
| | - E Menéndez
- Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain.,Department of Endocrinology and Nutrition, Central University Hospital of Asturias/University of Oviedo, Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
| | - A Lago-Sampedro
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - T González-Frutos
- Cruces University Hospital, Biocruces Bizkaia Health Research Institute, UPV/EHU, Barakaldo, Spain
| | - R Gomis
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute - IDIBAPS, Hospital Clínic of Barcelona, Barcelona, Spain
| | - A Goday
- Spanish Biomedical Research Network in physiopathology of obesity and Nutrition (CIBEROBN), Barcelona, Spain.,Department of Endocrinology and Nutrition, Hospital del Mar, IMIM. Universitat Autònoma, Barcelona, Spain
| | - S García-Serrano
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - E García-Escobar
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - J L Galán-García
- Department of Applied Mathematics, Malaga University, Malaga, Spain
| | - C Castell
- Department of Health, Public Health Agency of Catalonia, Barcelona, Spain
| | - R Badía-Guillén
- Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | | | - J Girbés
- Diabetes Unit, Hospital Arnau of Vilanova, Valencia, Spain
| | - S Gaztambide
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain.,Department of Endocrinology and Nutrition, Cruces University Hospital, Biocruces Bizkaia Health Research Institute, UPV/EHU, Barakaldo, Spain
| | - J Franch-Nadal
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,EAP Raval Sud, Catalan Institute of Health, GEDAPS Network, Primary Care, Research support unit (IDIAP - Jordi Gol Foundation), Barcelona, Spain
| | - E Delgado
- Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain.,Department of Endocrinology and Nutrition, Central University Hospital of Asturias/University of Oviedo, Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
| | - F J Chaves
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Genomic and Genetic Diagnosis Unit, Research Foundation of Valencia University Clinical Hospital-INCLIVA, Valencia, Spain
| | - L Castaño
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Cruces University Hospital, Biocruces Bizkaia Health Research Institute, UPV/EHU, Barakaldo, Spain.,Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain
| | - A Calle-Pascual
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Department of Endocrinology and Nutrition, University Hospital S. Carlos of Madrid, Madrid, Spain
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8
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Valdés S, Doulatram-Gamgaram V, Lago A, García Torres F, Badía-Guillén R, Olveira G, Goday A, Calle-Pascual A, Castaño L, Castell C, Delgado E, Menendez E, Franch-Nadal J, Gaztambide S, Girbés J, Gomis R, Ortega E, Galán-García JL, Aguilera-Venegas G, Soriguer F, Rojo-Martínez G. Ambient temperature and prevalence of diabetes and insulin resistance in the Spanish population: Di@bet.es study. Eur J Endocrinol 2019; 180:273-280. [PMID: 30840583 DOI: 10.1530/eje-18-0818] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 03/05/2019] [Indexed: 01/14/2023]
Abstract
Objective The activity of brown adipose tissue is sensitive to changes in ambient temperature. A lower exposure to cold could result in an increased risk of developing diabetes at population level, although this factor has not yet been sufficiently studied. Design We studied 5072 subjects, participants in a national, cross-sectional population-based study representative of the Spanish adult population (Di@bet.es study). All subjects underwent a clinical, demographic and lifestyle survey, a physical examination and blood sampling (75 g oral glucose tolerance test). Insulin resistance was estimated with the homeostasis model assessment (HOMA-IR). The mean annual temperature (°C) in each individual municipality was collected from the Spanish National Meteorology Agency. Results Linear regression analysis showed a significant positive association between mean annual temperature and fasting plasma glucose (β: 0.087, P < 0.001), 2 h plasma glucose (β: 0.049, P = 0.008) and HOMA-IR (β: 0.046, P = 0.008) in multivariate adjusted models. Logistic regression analyses controlled by multiple socio-demographic variables, lifestyle, adiposity (BMI) and geographical elevation showed increasing odds ratios for prediabetes (WHO 1999), ORs 1, 1.26 (0.95-1.66), 1.08 (0.81-1.44) and 1.37 (1.01-1.85) P for trend = 0.086, diabetes (WHO 1999) ORs 1, 1.05 (0.79-1.39), 1.20 (0.91-1.59) and 1.39 (1.02-1.90) P = 0.037, and insulin resistance (HOMA-IR ≥75th percentile of the non-diabetic population): ORs 1, 1.03 (0.82-1.30), 1.22 (0.96-1.55), 1.26 (0.98-1.63) (P for trend = 0.046) as the mean annual temperature (into quartiles) rose. Conclusions Our study reports an association between ambient temperature and the prevalence of dysglycemia and insulin resistance in Spanish adults, consistent with the hypothesis that a lower exposure to cold could be associated with a higher risk of metabolic derangements.
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Affiliation(s)
- Sergio Valdés
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Viyey Doulatram-Gamgaram
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, IBIMA, Málaga, Spain
| | - Ana Lago
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Rocío Badía-Guillén
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, IBIMA, Málaga, Spain
| | - Gabriel Olveira
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Albert Goday
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
| | - Alfonso Calle-Pascual
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario S. Carlos de Madrid, Madrid, Spain
| | - Luis Castaño
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Hospital Universitario Cruces, BioCruces Bizkaia, UPV/EHU, Barakaldo, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Conxa Castell
- Department of Health, Public Health Agency of Catalonia, Barcelona, Spain
| | - Elías Delgado
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias/University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Edelmiro Menendez
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias/University of Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Josep Franch-Nadal
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- EAP Raval Sud, Institut Català de la Salut, Red GEDAPS, Primary Care, Unitat de Suport a la Recerca (IDIAP - Fundació Jordi Gol), Barcelona, Spain
| | - Sonia Gaztambide
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario Cruces -BioCruces Bizkaia - UPV-EHU, Baracaldo, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Joan Girbés
- Diabetes Unit, Hospital Arnau de Vilanova, Valencia, Spain
| | - Ramón Gomis
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
| | - Emilio Ortega
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | | | | | - Federico Soriguer
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Gemma Rojo-Martínez
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga/Universidad de Málaga, IBIMA, Málaga, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
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9
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Lago-Sampedro A, García-Escobar E, Rubio-Martín E, Pascual-Aguirre N, Valdés S, Soriguer F, Goday A, Calle-Pascual A, Castell C, Menéndez E, Delgado E, Bordiú E, Castaño L, Franch-Nadal J, Girbés J, Chaves FJ, Gaztambide S, Rojo-Martínez G, Olveira G. Dairy Product Consumption and Metabolic Diseases in the Di@bet.es Study. Nutrients 2019; 11:nu11020262. [PMID: 30682848 PMCID: PMC6412325 DOI: 10.3390/nu11020262] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 01/14/2019] [Accepted: 01/21/2019] [Indexed: 02/07/2023] Open
Abstract
To date it is not clear what the role of dairy products is in metabolic diseases like diabetes, obesity, and hypertension. Therefore, the aim of this study is to test the association between dairy product consumption and those pathologies. A cross-sectional study was conducted with 5081 adults included in the di@bet.es study, from 100 health centers around Spain. Food frequency questionnaires were carried out concerning consumption habits, which included dairy product consumption. Logistic regression models were used for the association analyses between the variables controlling confounding variables. Women had a higher consumption of milk, cheese, or yogurt than men (p < 0.0001), but men consumed more sugar dairy products (p < 0.001). People who live in the North of Spain consume more dairy products than those who live in the East. Dairy product consumption was inversely associated with the presence of hypertension regardless of age, sex, geographical region, and body mass index (BMI) (Odds Ratio (OR) 0.743; p = 0.022). The presence of obesity was inversely associated with dairy consumption regardless of age, sex, and geographical region (OR 0.61; p < 0.001). Milk consumption was not associated with diabetes. Our results show that consuming dairy products is associated with a better metabolic profile in the Spanish population.
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Affiliation(s)
- Ana Lago-Sampedro
- Instituto de Investigación Biomédica de Málaga-IBIMA, 29010 Málaga, Spain.
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, 29009 Málaga, Spain.
- Biomedical Research Network in Diabetes and Associated Metabolic Disorders (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas -CIBERDEM-), Instituto de Salud Carlos III, 28029 Madrid, Spain.
- UGC Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, 29010 Málaga, Spain.
| | - Eva García-Escobar
- Instituto de Investigación Biomédica de Málaga-IBIMA, 29010 Málaga, Spain.
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, 29009 Málaga, Spain.
- Biomedical Research Network in Diabetes and Associated Metabolic Disorders (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas -CIBERDEM-), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Elehazara Rubio-Martín
- Instituto de Investigación Biomédica de Málaga-IBIMA, 29010 Málaga, Spain.
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, 29009 Málaga, Spain.
- Biomedical Research Network in Diabetes and Associated Metabolic Disorders (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas -CIBERDEM-), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Nuria Pascual-Aguirre
- UGCI de Prevención, Promoción y Vigilancia de la Salud, Complejo Hospitalario Universitario Granada, 18016 Granada, Spain.
| | - Sergio Valdés
- Instituto de Investigación Biomédica de Málaga-IBIMA, 29010 Málaga, Spain.
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, 29009 Málaga, Spain.
- Biomedical Research Network in Diabetes and Associated Metabolic Disorders (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas -CIBERDEM-), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Federico Soriguer
- Instituto de Investigación Biomédica de Málaga-IBIMA, 29010 Málaga, Spain.
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, 29009 Málaga, Spain.
- Biomedical Research Network in Diabetes and Associated Metabolic Disorders (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas -CIBERDEM-), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Albert Goday
- Department of Endocrinology and Nutrition, Hospital del Mar, 08003 Barcelona, Spain.
| | - Alfonso Calle-Pascual
- Biomedical Research Network in Diabetes and Associated Metabolic Disorders (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas -CIBERDEM-), Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Endocrinology and Nutrition, Hospital Universitario S. Carlos de Madrid, 28040 Madrid, Spain.
| | - Conxa Castell
- Public Health Division, Department of Health, Autonomous Government of Catalonia, 08023 Barcelona, Spain.
| | - Edelmiro Menéndez
- Department of Endocrinology and Nutrition, Hospital Central de Asturias, 33011 Oviedo, Spain.
| | - Elías Delgado
- Department of Endocrinology and Nutrition, Hospital Central de Asturias, 33011 Oviedo, Spain.
| | - Elena Bordiú
- Laboratorio de Endocrinología, Hospital Universitario San Carlos de Madrid, 28040 Madrid, Spain.
| | - Luis Castaño
- Biomedical Research Network in Diabetes and Associated Metabolic Disorders (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas -CIBERDEM-), Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Diabetes Research Group, Hospital Universitario de Cruces, UPV-EHU, 48903 Baracaldo, Spain.
| | - Josep Franch-Nadal
- Biomedical Research Network in Diabetes and Associated Metabolic Disorders (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas -CIBERDEM-), Instituto de Salud Carlos III, 28029 Madrid, Spain.
- EAP Raval Sud, Institut Català de la Salut, Red GEDAPS, Primary Care, Unitat de Suport a la Recerca (IDIAP e Fundació Jordi Gol), 08001 Barcelona, Spain.
| | - Juan Girbés
- Diabetes Unit, Hospital Arnau de Vilanova, 46015 Valencia, Spain.
| | - Felipe Javier Chaves
- Biomedical Research Network in Diabetes and Associated Metabolic Disorders (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas -CIBERDEM-), Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Genotyping and Genetic Diagnosis Unit, Fundación de Investigación del Hospital Clínico de Valencia-INCLIVA, 46010 Valencia, Spain.
| | - Sonia Gaztambide
- Biomedical Research Network in Diabetes and Associated Metabolic Disorders (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas -CIBERDEM-), Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Diabetes Research Group, Hospital Universitario de Cruces, UPV-EHU, 48903 Baracaldo, Spain.
| | - Gemma Rojo-Martínez
- Instituto de Investigación Biomédica de Málaga-IBIMA, 29010 Málaga, Spain.
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, 29009 Málaga, Spain.
- Biomedical Research Network in Diabetes and Associated Metabolic Disorders (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas -CIBERDEM-), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Gabriel Olveira
- Instituto de Investigación Biomédica de Málaga-IBIMA, 29010 Málaga, Spain.
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, 29009 Málaga, Spain.
- Biomedical Research Network in Diabetes and Associated Metabolic Disorders (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas -CIBERDEM-), Instituto de Salud Carlos III, 28029 Madrid, Spain.
- UGC Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, 29010 Málaga, Spain.
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10
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Maldonado-Araque C, Valdés S, Lago-Sampedro A, Lillo-Muñoz JA, Garcia-Fuentes E, Perez-Valero V, Gutierrez-Repiso C, Goday A, Urrutia I, Peláez L, Calle-Pascual A, Castaño L, Castell C, Delgado E, Menendez E, Franch-Nadal J, Gaztambide S, Girbés J, Ortega E, Vendrell J, Chacón MR, Chaves FJ, Soriguer F, Rojo-Martínez G. Iron deficiency is associated with Hypothyroxinemia and Hypotriiodothyroninemia in the Spanish general adult population: Di@bet.es study. Sci Rep 2018; 8:6571. [PMID: 29700318 PMCID: PMC5919900 DOI: 10.1038/s41598-018-24352-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Accepted: 03/23/2018] [Indexed: 01/08/2023] Open
Abstract
Previous studies have suggested that iron deficiency (ID) may impair thyroid hormone metabolism, however replication in wide samples of the general adult population has not been performed. We studied 3846 individuals free of thyroid disease, participants in a national, cross sectional, population based study representative of the Spanish adult population. Thyroid stimulating hormone (TSH), free thyroxin (FT4) and free triiodothyronine (FT3) were analyzed by electrochemiluminescence (E170, Roche Diagnostics). Serum ferritin was analyzed by immunochemiluminescence (Architect I2000, Abbott Laboratories). As ferritin levels decreased (>100, 30–100, 15–30, <15 µg/L) the adjusted mean concentrations of FT4 (p < 0.001) and FT3 (p < 0.001) descended, whereas TSH levels remained unchanged (p = 0.451). In multivariate logistic regression models adjusted for age, sex, UI, BMI and smoking status, subjects with ferritin levels <30 µg/L were more likely to present hypothyroxinemia (FT4 < 12.0 pmol/L p5): OR 1.5 [1.1–2.2] p = 0.024, and hypotriiodothyroninemia (FT3 < 3.9 pmol/L p5): OR 1.8 [1.3–2.6] p = 0.001 than the reference category with ferritin ≥30 µg/L. There was no significant heterogeneity of the results between men, pre-menopausal and post-menopausal women or according to the iodine nutrition status. Our results confirm an association between ID and hypothyroxinemia and hypotriiodothyroninemia in the general adult population without changes in TSH.
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Affiliation(s)
- Cristina Maldonado-Araque
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain
| | - Sergio Valdés
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain. .,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain.
| | - Ana Lago-Sampedro
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Eduardo Garcia-Fuentes
- UGC de Aparato Digestivo. Hospital Universitario Virgen de la Victoria, IBIMA, Málaga, Spain.,CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Vidal Perez-Valero
- UGC de Laboratorio (Bioquímica). Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Carolina Gutierrez-Repiso
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain.,UGC de Endocrinología y Nutrición. Hospital Universitario Virgen de la Victoria. IBIMA, Málaga, Spain
| | - Albert Goday
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
| | - Ines Urrutia
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain.,Hospital Universitario Cruces, BioCruces, UPV/EHU, Barakaldo, Spain
| | - Laura Peláez
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain
| | - Alfonso Calle-Pascual
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Endocrinology and Nutrition, Hospital Universitario S. Carlos de Madrid, Madrid, Spain
| | - Luis Castaño
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain.,Hospital Universitario Cruces, BioCruces, UPV/EHU, Barakaldo, Spain
| | - Contxa Castell
- Public Health Agency of Catalonia, Department of Health, Barcelona, Spain
| | - Elias Delgado
- Endocrinology and Nutrition Service, Hospital Universitario Central de Asturias, Oviedo, Spain.,Department of Medicine, University of Oviedo, Hospital Central de Asturias, Oviedo, Spain.,Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Edelmiro Menendez
- Endocrinology and Nutrition Service, Hospital Universitario Central de Asturias, Oviedo, Spain.,Department of Medicine, University of Oviedo, Hospital Central de Asturias, Oviedo, Spain.,Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Josep Franch-Nadal
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain.,EAP Raval Sud, Institut Català de la Salut, Red GEDAPS, Primary Care, Unitat de Suport a la Recerca (IDIAP - Fundació Jordi Gol), Barcelona, Spain
| | - Sonia Gaztambide
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Endocrinology and Nutrition, Hospital Universitario Cruces - UPV-EHU, Baracaldo, Barcelona, Spain
| | - Joan Girbés
- Diabetes Unit, Hospital Arnau de Vilanova, Valencia, Spain
| | - Emilio Ortega
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
| | - Joan Vendrell
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Endocrinology and Nutrition, Hospital Universitario Joan XXIII, Institut d'Investigacions Sanitaries Pere Virgili, Tarragona, Spain
| | | | - Felipe J Chaves
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain.,Genomic Studies and Genetic Diagnosis Unit, Fundación de Investigación del Hospital Clínico de Valencia-INCLIVA, Valencia, Spain
| | - Federico Soriguer
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Gemma Rojo-Martínez
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
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11
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Gómez-Hoyos E, Cuesta M, Del Prado-González N, Matía P, Pérez-Ferre N, De Luis DA, Calle-Pascual A, Rubio MÁ, Runkle-De la Vega I. Prevalence of Hyponatremia and Its Associated Morbimortality in Hospitalized Patients Receiving Parenteral Nutrition. Ann Nutr Metab 2017; 71:1-7. [DOI: 10.1159/000477675] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 05/15/2017] [Indexed: 12/20/2022]
Abstract
Background: The objective of the study was to determine the prevalence of hyponatremia (HN) and its associated morbimortality in hospitalized patients receiving parenteral nutrition (PN). Methods: A retrospective study including 222 patients receiving total PN (parenteral nutrition group [PNG]) over a 7-month period in a tertiary hospital and 176 matched to 179 control subjects without PN (control subjects group [CSG]). Demographic data, Charlson Comorbidity Index (CCI), date of HN detection-(serum sodium or SNa <135 mmol/L)-intrahospital mortality, and hospital length-of-stay (LOS) were registered. In the PNG, body mass index (BMI) and SNa before, during, and after PN were recorded. Results: HN was more prevalent in the PNG: 52.8 vs. 35.8% (p = 0.001), and independent of age, gender, or CCI (OR 1.8 [95% CI 1.1-2.8], p = 0.006). In patients on PN, sustained HN (75% of all intraindividual SNa <135 mmol/L) was associated with a higher mortality rate independent of age, gender, CCI, or BMI (OR 7.38 [95% CI 1.07-50.8], p = 0.042). The absence of HN in PN patients was associated with a shorter hospital LOS (<30 days) and was independent of other comorbidities (OR 3.89 [95% CI 2.11-7.18], p = 0.001). Conclusions: HN is more prevalent in patients on PN. Sustained HN is associated with a higher intrahospital mortality rate. Absence of HN is associated with a shorter hospital LOS.
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12
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Valdés S, Maldonado-Araque C, Lago-Sampedro A, Lillo-Muñoz JA, Garcia-Fuentes E, Perez-Valero V, Gutiérrez-Repiso C, Garcia-Escobar E, Goday A, Urrutia I, Peláez L, Calle-Pascual A, Bordiú E, Castaño L, Castell C, Delgado E, Menéndez E, Franch-Nadal J, Gaztambide S, Girbés J, Ortega E, Vendrell J, Chacón MR, Javier Chaves F, Soriguer F, Rojo-Martínez G. Reference values for TSH may be inadequate to define hypothyroidism in persons with morbid obesity: Di@bet.es study. Obesity (Silver Spring) 2017; 25:788-793. [PMID: 28276648 DOI: 10.1002/oby.21796] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2016] [Revised: 12/22/2016] [Accepted: 01/12/2017] [Indexed: 01/09/2023]
Abstract
OBJECTIVE To analyze the reference range of thyroid-stimulating hormone (TSH) in different BMI categories and its impact on the classification of hypothyroidism. METHODS The study included 3,928 individuals free of thyroid disease (without previous thyroid disease, no interfering medications, TSH <10 µUI/mL and thyroid peroxidase antibodies [TPO Abs] <50 IU/mL) who participated in a national, cross-sectional, population-based study and were representative of the adult population of Spain. Data gathered included clinical and demographic characteristics, physical examination, and blood and urine sampling. TSH, free thyroxine, free triiodothyronine, and TPO Ab were analyzed by electrochemiluminescence (E170, Roche Diagnostics, Basel, Switzerland). RESULTS The reference range (p2.5-97.5) for TSH was estimated as 0.6 to 4.8 µUI/mL in the underweight category (BMI<20 kg/m2 ), 0.6 to 5.5 µUI/mL in the normal-weight category (BMI 20-24.9 kg/m2 ), 0.6 to 5.5 µUI/mL in the overweight category (BMI 25-29.9 kg/m2 ), 0.5 to 5.9 µUI/mL in the obesity category (BMI 30-39.9 kg/m2 ), and 0.7 to 7.5 µUI/mL in the morbid obesity category (BMI ≥40). By using the reference criteria for the normal-weight population, the prevalence of high TSH levels increased threefold in the morbid obesity category (P < 0.01). CONCLUSIONS Persons with morbid obesity might be inappropriately classified if the standard ranges of normality of TSH for the normal-weight population are applied to them.
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Affiliation(s)
- Sergio Valdés
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain
| | - Cristina Maldonado-Araque
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain
| | - Ana Lago-Sampedro
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain
| | | | - Eduardo Garcia-Fuentes
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Vidal Perez-Valero
- UGC de Laboratorio (Bioquímica), Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Carolina Gutiérrez-Repiso
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain
| | - Eva Garcia-Escobar
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain
| | - Albert Goday
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
| | - Inés Urrutia
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Hospital Universitario Cruces, BioCruces, UPV/EHU, Barakaldo, Spain
| | - Laura Peláez
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain
| | - Alfonso Calle-Pascual
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario S. Carlos de Madrid, Spain
| | - Elena Bordiú
- Laboratorio de Bioquímica, Hospital Universitario S. Carlos de Madrid, Spain
| | - Luis Castaño
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Hospital Universitario Cruces, BioCruces, UPV/EHU, Barakaldo, Spain
| | - Conxa Castell
- Public Health Agency, Department of Health, Autonomous Government of Catalonia, Barcelona, Spain
| | - Elias Delgado
- Department of Endocrinology and Nutrition, Hospital Central de Asturias, Oviedo, Spain
| | - Edelmiro Menéndez
- Department of Endocrinology and Nutrition, Hospital Central de Asturias, Oviedo, Spain
| | - Josep Franch-Nadal
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- EAP Raval Sud, Institut Català de la Salut, Red GEDAPS, Primary Care, Unitat de Suport a la Recerca (IDIAP - Fundació Jordi Gol), Barcelona, Spain
| | - Sonia Gaztambide
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario Cruces - UPV-EHU, Baracaldo, Spain
| | - Joan Girbés
- Diabetes Unit, Hospital Arnau de Vilanova, Valencia, Spain
| | - Emilio Ortega
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Spain
| | - Joan Vendrell
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario Joan XXIII, Institut d'Investigacions Sanitaries Pere Virgili, Tarragona, Spain
| | - Matilde R Chacón
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario Joan XXIII, Institut d'Investigacions Sanitaries Pere Virgili, Tarragona, Spain
| | - F Javier Chaves
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Genotyping and Genetic Diagnosis Unit, Fundación de Investigación del Hospital Clínico de Valencia-INCLIVA, Valencia, Spain
| | - Federico Soriguer
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain
| | - Gemma Rojo-Martínez
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga, IBIMA, Málaga, Spain
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Valdés S, Maldonado-Araque C, Lago-Sampedro A, Lillo JA, Garcia-Fuentes E, Perez-Valero V, Gutierrez-Repiso C, Ocon-Sanchez P, Goday A, Urrutia I, Peláez L, Calle-Pascual A, Bordiú E, Castaño L, Castell C, Delgado E, Menendez E, Franch J, Gaztambide S, Girbés J, Ortega E, Lopez-Alba A, Chaves FJ, Vendrell J, Chacón MR, Soriguer F, Rojo-Martínez G. Population-Based National Prevalence of Thyroid Dysfunction in Spain and Associated Factors: Di@bet.es Study. Thyroid 2017; 27:156-166. [PMID: 27835928 DOI: 10.1089/thy.2016.0353] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND The aim of this study was to investigate the national prevalence of thyroid dysfunction in Spain and its association with various clinical, environmental, and demographic variables. METHODS The study included 4554 subjects (42.4% men) with a mean age of 50 years (range 18-93 years), who were participants in a national, cross-sectional, population-based survey conducted in 2009-2010. Data gathered included clinical and demographic characteristics, physical examination, and blood sampling. Thyrotropin, free thyroxine, free triiodothyronine, and thyroid peroxidase antibody (TPOAb) concentrations were analyzed by electrochemiluminescence. Urinary iodine (UI) levels were measured in an isolated urine sample. RESULTS The prevalence of treated hypothyroidism, untreated subclinical hypothyroidism, and untreated clinical hypothyroidism was 4.2% [confidence interval (CI) 3.6-4.9%], 4.6% [CI 4.0-5.2%], and 0.3% [CI 0.1-0.5%], respectively. The prevalence of total hypothyroidism (including all fractions) was 9.1% [CI 8.2-10.0%]. The prevalence of total hyperthyroidism was 0.8% [CI 0.6-1.1]. A total of 7.5% [CI 6.7-8.3%] of the population tested positive for TPOAbs (≥50 IU/mL). In multivariate logistic regression models, TPOAbs were strongly associated with both hypothyroidism (p < 0.001) and hyperthyroidism (p = 0.005), whereas high UI levels (>200 μg/g creatinine) were associated with hypothyroidism (p < 0.001). The positive association between UI and hypothyroidism remained for both treated (p < 0.001) and untreated (p < 0.05) hypothyroidism, whereas it was especially significant for non-autoimmune (TPOAbs negative) forms (p < 0.001). At UI levels ≥200 μg/g, there was a positive correlation between UI and thyrotropin levels (β = 0.152, p < 0.001) and a negative correlation between UI and free triiodothyronine levels (β = -0.134, p = 0.001). CONCLUSION According to the data, a large proportion (10%) of the Spanish population has some evidence of thyroid dysfunction. High TPOAb concentrations were associated with both hypo- and hyperthyroidism, whereas high UI concentrations were associated with hypothyroidism.
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Affiliation(s)
- Sergio Valdés
- 1 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III , Madrid, Spain
- 2 Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga , Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Cristina Maldonado-Araque
- 1 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III , Madrid, Spain
- 2 Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga , Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Ana Lago-Sampedro
- 1 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III , Madrid, Spain
- 2 Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga , Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - J Antonio Lillo
- 3 UGC de Laboratorio (Bioquímica), Hospital Regional Universitario de Málaga , Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Eduardo Garcia-Fuentes
- 2 Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga , Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
- 4 CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III , Madrid, Spain
| | - Vidal Perez-Valero
- 3 UGC de Laboratorio (Bioquímica), Hospital Regional Universitario de Málaga , Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Carolina Gutierrez-Repiso
- 1 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III , Madrid, Spain
- 2 Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga , Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Pilar Ocon-Sanchez
- 3 UGC de Laboratorio (Bioquímica), Hospital Regional Universitario de Málaga , Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Albert Goday
- 5 Department of Endocrinology and Nutrition, Hospital del Mar , Barcelona, Spain
| | - Ines Urrutia
- 1 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III , Madrid, Spain
- 6 Research Unit, Hospital Universitario Cruces-UPV-EHU , Baracaldo, Spain
| | - Laura Peláez
- 2 Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga , Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Alfonso Calle-Pascual
- 7 Department of Endocrinology and Nutrition, Hospital Universitario S. Carlos de Madrid , Madrid, Spain
| | - Elena Bordiú
- 8 Laboratorio de Bioquímica, Hospital Universitario S. Carlos de Madrid , Madrid, Spain
| | - Luis Castaño
- 1 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III , Madrid, Spain
- 6 Research Unit, Hospital Universitario Cruces-UPV-EHU , Baracaldo, Spain
| | - Conxa Castell
- 9 Public Health Agency, Department of Health, Autonomous Government of Catalonia , Barcelona, Spain
| | - Elias Delgado
- 10 Department of Endocrinology and Nutrition, Hospital Central de Asturias , Oviedo, Spain
| | - Edelmiro Menendez
- 10 Department of Endocrinology and Nutrition, Hospital Central de Asturias , Oviedo, Spain
| | - Josep Franch
- 1 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III , Madrid, Spain
- 11 EAP Raval Sud, Institut Català de la Salut, Red GEDAPS, Primary Care, Unitat de Suport a la Recerca (IDIAP-Fundació Jordi Gol) , Barcelona, Spain
| | - Sonia Gaztambide
- 1 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III , Madrid, Spain
- 12 Department of Endocrinology and Nutrition, Hospital Universitario Cruces-UPV-EHU , Baracaldo, Spain
| | - Joan Girbés
- 13 Diabetes Unit, Hospital Arnau de Vilanova , Valencia, Spain
| | - Emilio Ortega
- 4 CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III , Madrid, Spain
- 14 Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS); Hospital Clínic de Barcelona , Barcelona, Spain
| | - Alfonso Lopez-Alba
- 15 Department of Endocrinology and Nutrition, Fundación Hospital de Jove , Gijón, Spain
| | - Felipe J Chaves
- 1 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III , Madrid, Spain
- 16 Genotyping and Genetic Diagnosis Unit, Fundación de Investigación del Hospital Clínico de Valencia-INCLIVA , Valencia, Spain
| | - Joan Vendrell
- 1 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III , Madrid, Spain
- 17 Department of Endocrinology and Nutrition, Hospital Universitario Joan XXIII , Institut d'Investigacions Sanitaries Pere Virgili, Tarragona, Spain
| | - Matilde R Chacón
- 1 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III , Madrid, Spain
- 17 Department of Endocrinology and Nutrition, Hospital Universitario Joan XXIII , Institut d'Investigacions Sanitaries Pere Virgili, Tarragona, Spain
| | - Federico Soriguer
- 1 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III , Madrid, Spain
- 2 Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga , Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Gemma Rojo-Martínez
- 1 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III , Madrid, Spain
- 2 Department of Endocrinology and Nutrition, Hospital Regional Universitario de Málaga , Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
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Brugnara L, Murillo S, Novials A, Rojo-Martínez G, Soriguer F, Goday A, Calle-Pascual A, Castaño L, Gaztambide S, Valdés S, Franch J, Castell C, Vendrell J, Casamitjana R, Bosch-Comas A, Bordiú E, Carmena R, Catalá M, Delgado E, Girbés J, López-Alba A, Martínez-Larrad MT, Menéndez E, Mora-Peces I, Pascual-Manich G, Serrano-Ríos M, Gomis R, Ortega E. Low Physical Activity and Its Association with Diabetes and Other Cardiovascular Risk Factors: A Nationwide, Population-Based Study. PLoS One 2016; 11:e0160959. [PMID: 27532610 PMCID: PMC4988632 DOI: 10.1371/journal.pone.0160959] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 07/27/2016] [Indexed: 12/13/2022] Open
Abstract
Low physical activity (PA), or sedentary lifestyle, is associated with the development of several chronic diseases. We aimed to investigate current prevalence of sedentariness and its association with diabetes and other cardiovascular risk factors. PA was evaluated in a population-based, cross-sectional, randomly sampled study conducted in 2009-2010 in Spain. International Physical Activity Questionnaire (SF-IPAQ) was used to assess PA. 4991 individuals (median age 50 years, 57% women) were studied. Prevalence of sedentariness was 32.3% for men and 39% for women (p < 0.0001). Sex differences were particularly notable (age*sex interaction, p = 0.0024) at early and older ages. Sedentary individuals had higher BMI (28 vs. 27 kg/m2) and obesity prevalence (37 vs. 26%). Low PA was present in 44, 43, and 38% of individuals with known diabetes (KDM), prediabetes/unknown-diabetes (PREDM/UKDM), and normal glucose regulation (p = 0.0014), respectively. No difference between KDM and PREDM/UKDM (p = 0.72) was found. Variables independently associated (p < 0.05) with sedentariness were age, sex, BMI, central obesity, Mediterranean diet adherence, smoking habit, HDL-cholesterol, triglycerides and dyslipidemia. Low PA is on the rise in Spain, especially among women. Sedentariness is associated with several cardiovascular risk factors and may be responsible for the increasing prevalence of obesity and diabetes in this country.
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Affiliation(s)
- Laura Brugnara
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- IDIBAPS—August Pi i Sunyer Biomedical Research Institute / Hospital Clínic de Barcelona, Barcelona, Spain
| | - Serafín Murillo
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- IDIBAPS—August Pi i Sunyer Biomedical Research Institute / Hospital Clínic de Barcelona, Barcelona, Spain
| | - Anna Novials
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- IDIBAPS—August Pi i Sunyer Biomedical Research Institute / Hospital Clínic de Barcelona, Barcelona, Spain
| | - Gemma Rojo-Martínez
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- Hospital Universitario Carlos Haya, Department of Endocrinology and Nutrition, Málaga, Spain
| | - Federico Soriguer
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- Hospital Universitario Carlos Haya, Department of Endocrinology and Nutrition, Málaga, Spain
| | - Albert Goday
- Hospital del Mar, Department of Endocrinology and Nutrition, Barcelona, Spain
| | | | - Luis Castaño
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- Hospital Universitario de Cruces, UPV-EHU, Diabetes Research Group, Baracaldo, Spain
| | - Sonia Gaztambide
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- Hospital Universitario de Cruces, UPV-EHU, Diabetes Research Group, Baracaldo, Spain
| | - Sergio Valdés
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- Hospital Universitario Carlos Haya, Department of Endocrinology and Nutrition, Málaga, Spain
| | - Josep Franch
- EAP Raval Sud, Institut Català de la Salut, Red GEDAPS, IDIAP, Barcelona, Spain
| | - Conxa Castell
- Public Health Division, Autonomous Government of Catalonia, Barcelona, Spain
| | - Joan Vendrell
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario Joan XXIII, Tarragona, Spain
| | - Roser Casamitjana
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- IDIBAPS—August Pi i Sunyer Biomedical Research Institute / Hospital Clínic de Barcelona, Barcelona, Spain
| | - Anna Bosch-Comas
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- IDIBAPS—August Pi i Sunyer Biomedical Research Institute / Hospital Clínic de Barcelona, Barcelona, Spain
| | - Elena Bordiú
- Hospital Universitario San Carlos, Madrid, Spain
| | - Rafael Carmena
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- Department of Medicine and Endocrinology, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - Miguel Catalá
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- Department of Medicine and Endocrinology, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - Elias Delgado
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias, Facultad de Medicina y Ciencias de la Salud, Universidad de Oviedo, Oviedo, Spain
| | | | | | - Maria Teresa Martínez-Larrad
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- CIBEROBN—Spanish Biomedical Research Centre in Physiopathology of Obesity
| | - Edelmiro Menéndez
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias, Facultad de Medicina y Ciencias de la Salud, Universidad de Oviedo, Oviedo, Spain
| | | | - Gemma Pascual-Manich
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- IDIBAPS—August Pi i Sunyer Biomedical Research Institute / Hospital Clínic de Barcelona, Barcelona, Spain
| | - Manuel Serrano-Ríos
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Ramon Gomis
- CIBERDEM—Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
- IDIBAPS—August Pi i Sunyer Biomedical Research Institute / Hospital Clínic de Barcelona, Barcelona, Spain
| | - Emilio Ortega
- CIBEROBN—Spanish Biomedical Research Centre in Physiopathology of Obesity
- Department of Endocrinology and Nutrition, ICMDM, Hospital Clinic Barcelona
- * E-mail:
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15
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González-Estecha M, Bodas-Pinedo A, Guillén-Pérez JJ, Rubio-Herrera MÁ, Martínez-Álvarez JR, Herráiz-Martínez MÁ, Martell-Claros N, Ordóñez-Iriarte JM, Sáinz-Martín M, Farré-Rovira R, Martínez-Astorquiza T, García-Donaire JA, Calvo-Manuel E, Bretón-Lesmes I, Prieto-Menchero S, Llorente-Ballesteros MT, Martínez-García MJ, Moreno-Rojas R, Salas-Salvadó J, Bermejo-Barrera P, Cuadrado-Cenzual MÁ, Gallardo-Pino C, Fuentes MB, Torres-Moreno M, Trasobares-Iglesias EM, Martín BB, Arroyo-Fernández M, Calle-Pascual A. Consensus document on the prevention of methylmercury exposure in Spain: Study group for the prevention of Me-Hg exposure in Spain (GEPREM-Hg). J Trace Elem Med Biol 2015; 32:122-34. [PMID: 26302920 DOI: 10.1016/j.jtemb.2015.05.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2015] [Accepted: 05/26/2015] [Indexed: 02/04/2023]
Abstract
The beneficial effects of fish consumption in both children and adults are well known. However, the intake of methylmercury, mainly from contaminated fish and shellfish, can have adverse health effects. The study group on the prevention of exposure to methylmercury (GEPREM-Hg), made up of representatives from different Spanish scientific societies, has prepared a consensus document in a question and answer format, containing the group's main conclusions, recommendations and proposals. The objective of the document is to provide broader knowledge of factors associated with methylmercury exposure, its possible effects on health amongst the Spanish population, methods of analysis, interpretation of the results and economic costs, and to then set recommendations for fish and shellfish consumption. The group sees the merit of all initiatives aimed at reducing or prohibiting the use of mercury as well as the need to be aware of the results of contaminant analyses performed on fish and shellfish marketed in Spain. In addition, the group believes that biomonitoring systems should be set up in order to follow the evolution of methylmercury exposure in children and adults and perform studies designed to learn more about the possible health effects of concentrations found in the Spanish population, taking into account the lifestyle, eating patterns and the Mediterranean diet.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jordi Salas-Salvadó
- Spanish Federation of Nutrition, Food and Dietetics Societies (FESNAD), Spain
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16
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Amor AJ, Masana L, Soriguer F, Goday A, Calle-Pascual A, Gaztambide S, Rojo-Martínez G, Valdés S, Gomis R, Ortega E. Estimación del riesgo cardiovascular en España según la guía europea sobre prevención de la enfermedad cardiovascular en la práctica clínica. Rev Esp Cardiol 2015. [DOI: 10.1016/j.recesp.2014.05.023] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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17
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González-Estecha M, Bodas-Pinedo A, Guillén-Pérez JJ, Rubio-Herrera MÁ, Martínez-Álvarez JR, Herráiz-Martínez MÁ, Martell-Claros N, Ordóñez-Iriarte JM, Sáinz-Martín M, Farré-Rovira R, Martínez-Astorquiza T, García-Donaire JA, Calvo-Manuel E, Bretón-Lesmes I, Prieto-Menchero S, Llorente-Ballesteros MT, Martínez-García MJ, Moreno-Rojas R, Salas-Salvadó J, Bermejo-Barrera P, Cuadrado-Cenzual MÁ, Gallardo-Pino C, Blanco Fuentes M, Torres-Moreno M, Trasobares-Iglesias EM, Barceló Martín B, Arroyo-Fernández M, Calle-Pascual A. [Consensus document on the prevention of exposure to methylmercury in Spain]. NUTR HOSP 2014; 31:16-31. [PMID: 25561095 DOI: 10.3305/nh.2015.31.1.8392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2023] Open
Abstract
The beneficial effects of fish consumption in both children and adults are well known. However, the intake of methylmercury, mainly from contaminated fish and shellfish, can have adverse health effects. The study group on the prevention of exposure to methylmercury (GEPREM-Hg), made up of representatives from different Spanish scientific societies, has prepared a consensus document in a question and answer format, containing the group's main conclusions, recommendations and proposals. The objective of the document is to provide broader knowledge of factors associated with methylmercury exposure, its possible effects on health among the Spanish population, methods of analysis, interpretation of the results and economic costs, and to then set recommendations for fish and shellfish consumption. The group sees the merit of all initiatives aimed at reducing or prohibiting the use of mercury as well as the need to be aware of the results of contaminant analyses performed on fish and shellfish marketed in Spain. In addition, the group believes that biomonitoring systems should be set up in order to follow the evolution of methylmercury exposure in children and adults and perform studies designed to learn more about the possible health effects of concentrations found in the Spanish population, ta king into account the lifestyle, eating patterns and the Mediterranean diet.
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Affiliation(s)
| | | | | | | | | | | | - Nieves Martell-Claros
- Sociedad Española de Hipertensión- Liga Española para la Lucha contra la Hipertensión Arterial (SEH-LELHA)..
| | | | | | - Rosaura Farré-Rovira
- Federación Española de Sociedades de Nutrición, Alimentación y Dietética (FESNAD)..
| | | | - José Antonio García-Donaire
- Sociedad Española de Hipertensión- Liga Española para la Lucha contra la Hipertensión Arterial (SEH-LELHA)..
| | | | | | | | | | | | | | - Jordi Salas-Salvadó
- Federación Española de Sociedades de Nutrición, Alimentación y Dietética (FESNAD)..
| | | | | | | | | | - Miriam Torres-Moreno
- Federación Española de Sociedades de Nutrición, Alimentación y Dietética (FESNAD)..
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18
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Amor AJ, Masana L, Soriguer F, Goday A, Calle-Pascual A, Gaztambide S, Rojo-Martínez G, Valdés S, Gomis R, Ortega E. Estimating Cardiovascular Risk in Spain by the European Guidelines on Cardiovascular Disease Prevention in Clinical Practice. ACTA ACUST UNITED AC 2014; 68:417-25. [PMID: 25444376 DOI: 10.1016/j.rec.2014.05.023] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2013] [Accepted: 05/13/2014] [Indexed: 11/18/2022]
Abstract
INTRODUCTION AND OBJECTIVES There are no nationwide, population-based studies in Spain assessing overall cardiovascular risk. We aimed to describe cardiovascular risk and achievement of treatment goals following the 2012 European Guidelines on cardiovascular disease prevention strategy. We also investigated clinical characteristics (non-classical risk factors) associated with moderate risk. METHODS Participants (n=2310, 58% women) aged 40 to 65 years from a national population-based study (Di@bet.es Study) were identified. First, a priori high/very-high risk individuals were identified. Next, total cardiovascular risk (Systematic Coronary Risk Evaluation equation including high-density lipoprotein cholesterol) was used to assess risk of a priori non-high risk individuals. Variables independently associated with moderate versus low-risk were investigated by multiple logistic regression analysis. RESULTS Age-and-sex standardized (direct method) percentages of high/very-high, moderate, and low-risk were 22.8%, 43.5%, and 33.7%, respectively. Most men were at moderate (56.2%), while 55.4% of women were at low risk. Low-density lipoprotein cholesterol (< 70,<100, < 115 mg/dL) and blood pressure (<140/90 mmHg) goals for very-high, high and moderate risk were met in 15%, 26% and 46%, and 77%, 68% and 85% of the individuals, respectively. Body mass index, high triglycerides concentrations, diastolic blood pressure, and low Mediterranean diet adherence (in women) were independently associated with moderate (versus low) risk. CONCLUSIONS Cardiovascular risk in Spain is mainly moderate in men and low in women. Achievement of treatment goals in high-risk individuals should be improved. The prevalence of non-classical cardiovascular risk factors is elevated in subjects at moderate risk, an important aspect to consider in a population-based strategy to decrease cardiovascular disease in the most prevalent group.
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Affiliation(s)
- Antonio Jesús Amor
- Servicio de Endocrinología y Nutrición, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Luis Masana
- Unidad de Medicina Vascular y Metabolismo, Hospital Universitario Sant Joan de Reus, Universidad Rovira i Virgili, Reus, Tarragona, Spain
| | - Federico Soriguer
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain; Servicio de Endocrinología y Nutrición, Hospital Universitario Carlos Haya, Málaga, Spain
| | - Albert Goday
- Servicio de Endocrinología y Nutrición, Hospital del Mar, Barcelona, Spain
| | - Alfonso Calle-Pascual
- Servicio de Endocrinología y Nutrición, Hospital Universitario San Carlos , Madrid, Spain
| | - Sonia Gaztambide
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain; Grupo de Investigación de Diabetes, Hospital Universitario de Cruces, UPV-EHU, Baracaldo, Vizcaya, Spain
| | - Gemma Rojo-Martínez
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain; Servicio de Endocrinología y Nutrición, Hospital Universitario Carlos Haya, Málaga, Spain
| | - Sergio Valdés
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain; Servicio de Endocrinología y Nutrición, Hospital Universitario Carlos Haya, Málaga, Spain
| | - Ramón Gomis
- Servicio de Endocrinología y Nutrición, Hospital Clínic, IDIBAPS, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain
| | - Emilio Ortega
- Servicio de Endocrinología y Nutrición, Hospital Clínic, IDIBAPS, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain.
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González-Estecha M, Bodas-Pinedo A, Rubio-Herrera MÁ, Martell-Claros N, Trasobares-Iglesias EM, Ordóñez-Iriarte JM, Guillén-Pérez JJ, Herráiz-Martínez MÁ, García-Donaire JA, Farré-Rovira R, Calvo-Manuel E, Martínez-Álvarez JR, Llorente-Ballesteros MT, Sáinz-Martín M, Martínez-Astorquiza T, Martínez-García MJ, Bretón Lesmes I, Cuadrado-Cenzual MÁ, Prieto-Menchero S, Gallardo-Pino C, Moreno-Rojas R, Bermejo-Barrera P, Torres-Moreno M, Arroyo-Fernández M, Calle-Pascual A. [The effects of methylmercury on health in children and adults; national and international studies]. NUTR HOSP 2014; 30:989-1007. [PMID: 25365002 DOI: 10.3305/nh.2014.30.5.7728] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
The benefit of fish consumption in children and adults is well-known. However, it has been pointed out that excessive methylmercury intake due to consumption of contaminated fish leads to neurological toxicity in children, affecting cognitive function, memory, visual-motor function and language. After the intoxications in Minamata and Iraq, wide-ranging epidemiological studies were carried out in New Zealand, the Faroe Islands and the Seychelles and international recommendations were established for fish consumption in pregnant women and small children. In Spain, the Childhood and Environmental project (INMA, its Spanish acronym) has studied the effects of diet and the environment on fetal and childhood development in different geographic areas of Spain. National and international sudies have demonstrated that mercury concentrations are mainly dependent on fish consumption, although there are variations among countries which can be explained not only by the levels of fish consumption, but also by the type or species of fish that is consumed, as well as other factors. Although the best documented adverse effects of methylmercury are the effects on nervous sytem development in fetuses and newborns, an increasing number of studies indicate that cognitive function, reproduction and, especially, cardiovascular risk in the adult population can also be affected. However, more studies are necessary in order to confirm this and establish the existance of a causal relationship.
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Affiliation(s)
| | | | | | - Nieves Martell-Claros
- Sociedad Española de Hipertensión-Liga Española para la Lucha contra la Hipertensión Arterial (SEH-LELHA)
| | | | | | | | | | | | - Rosaura Farré-Rovira
- Federación Española de Sociedades de Nutrición, Alimentación y Dietética (FESNAD)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Miriam Torres-Moreno
- Federación Española de Sociedades de Nutrición, Alimentación y Dietética (FESNAD)
| | | | - Alfonso Calle-Pascual
- Hospital Clínico San Carlos. Instituto de Investigación Sanitaria (IdISSC). Madrid. España
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Valdés S, Maldonado-Araque C, García-Torres F, Goday A, Bosch-Comas A, Bordiú E, Calle-Pascual A, Carmena R, Casamitjana R, Castaño L, Castell C, Catalá M, Delgado E, Franch J, Gaztambide S, Girbés J, Gomis R, Gutiérrez G, López-Alba A, Martínez-Larrad M, Menéndez E, Mora-Peces I, Ortega E, Pascual-Manich G, Serrano-Rios M, Urrutia I, Vázquez JA, Vendrell J, Soriguer F, Rojo-Martínez G. Ambient temperature and prevalence of obesity in the Spanish population: The Di@bet.es study. Obesity (Silver Spring) 2014; 22:2328-32. [PMID: 25124468 DOI: 10.1002/oby.20866] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2014] [Accepted: 07/25/2014] [Indexed: 12/20/2022]
Abstract
OBJECTIVE The aim of this study was to examine possible associations between ambient temperature and obesity in the Spanish population using an ecological focus. METHODS The Di@bet.es study is a national, cross-sectional, population-based survey of cardiometabolic risk factors and their association with lifestyle. SAMPLE 5,061 subjects in 100 clusters. VARIABLES Clinical, demographic and lifestyle survey, physical examination, and blood sampling. The mean annual temperature (°C) for each study site was collected from the Spanish National Meteorology Agency (1971-2000). RESULTS The prevalence rates of obesity in the different geographical areas divided according to mean annual temperature quartiles were 26.9% in quartile 1 (10.4-14.5°C), 30.5% in quartile 2 (14.5-15.5°C), 32% in quartile 3 (15.5-17.8°C), and 33.6% in quartile 4 (17.8-21.3°C) (P = 0.003). Logistic regression analyses including multiple socio-demographic (age, gender, educational level, marital status) and lifestyle (physical activity, Mediterranean diet score, smoking) variables showed that, as compared with quartile 1, the odd ratios for obesity were 1.20 (1.01-1.42), 1.35 (1.12-1.61), and 1.38 (1.14-1.67) in quartiles 2, 3, and 4, respectively (P = 0.001 for difference, P < 0.001 for trend). CONCLUSIONS Our study reports an association between ambient temperature and obesity in the Spanish population controlled for known confounders.
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Affiliation(s)
- Sergio Valdés
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain; Department of Endocrinology and Nutrition, Hospital Universitario Carlos Haya, IBIMA, Malaga, Spain
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21
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González-Estecha M, Bodas-Pinedo A, Guillén-Pérez JJ, Rubio-Herrera MÁ, Ordóñez-Iriarte JM, Trasobares-Iglesias EM, Martell-Claros N, Martínez-Álvarez JR, Farré-Rovira R, Herráiz-Martínez MÁ, Martínez-Astorquiza T, Calvo-Manuel E, Sáinz-Martín M, Bretón-Lesmes I, Prieto-Menchero S, Llorente-Ballesteros MT, Martínez-García MJ, Salas-Salvadó J, Bermejo-Barrera P, García-Donaire JA, Cuadrado-Cenzual MÁ, Gallardo-Pino C, Moreno-Rojas R, Arroyo-Fernández M, Calle-Pascual A. [Methylmercury exposure in the general population; toxicokinetics; differences by gender, nutritional and genetic factors]. NUTR HOSP 2014; 30:969-88. [PMID: 25365001 DOI: 10.3305/nh.2014.30.5.7727] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Mercury is an environmental toxicant that causes numerous adverse effects on human health and natural ecosystems. The factors that determine the existance of adverse effects, as well as their severity are, among others: the chemical form of mercury (elemental, inorganic, organic), dosis, age, period of exposure, pathways of exposure and environmental, nutritional and genetic factors. In the aquatic cycle of mercury, once it has been deposited, it is transformed into methylmercury due to the action of certain sulphate-reducing bacteria, which bioaccumulates in the aquatic organisms and moves into the food chain. The methylmercury content of large, long-lived fish such as swordfish, shark, tuna or marlin, is higher. Methylmercury binds to protein in fish and is therefore not eliminated by cleaning or cooking the fish. Fetuses and small children are more vulnerable to the neurotoxic effects of methylmercury from the consumption of contaminated fish. Methylmercury is absorbed in the gastrointestinal tract and crosses the blood-brain barrier and the placenta. The intake of certain dietary components such as polyunsaturated fatty acids, selenium, fiber, thiol compounds, certain phytochemicals and other nutrients can modify methylmercury bioaccesibility and its toxicity. Apart from environmental factors, genetic factors can influence mercury toxicity and explain part of the individual vulnerability.
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Affiliation(s)
| | | | | | | | | | | | - Nieves Martell-Claros
- Sociedad Española de Hipertensión-Liga Española para la Lucha contra la Hipertensión Arterial (SEH-LELHA)
| | | | - Rosaura Farré-Rovira
- Federación Española de Sociedades de Nutrición, Alimentación y Dietética (FESNAD)
| | | | | | | | | | | | | | | | | | - Jordi Salas-Salvadó
- Federación Española de Sociedades de Nutrición, Alimentación y Dietética (FESNAD)
| | | | | | | | | | | | | | - Alfonso Calle-Pascual
- Hospital Clínico San Carlos. Instituto de Investigación Sanitaria (IdISSC). Madrid. España
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22
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Gutiérrez-Repiso C, Soriguer F, Rojo-Martínez G, García-Fuentes E, Valdés S, Goday A, Calle-Pascual A, López-Alba A, Castell C, Menéndez E, Bordiú E, Delgado E, Ortega E, Pascual-Manich G, Urrutia I, Mora-Peces I, Vendrell J, Vázquez JA, Franch J, Girbés J, Castaño L, Serrano-Ríos M, Martínez-Larrad MT, Catalá M, Carmena R, Gomis R, Casamitjana R, Gaztambide S. Variable patterns of obesity and cardiometabolic phenotypes and their association with lifestyle factors in the Di@bet.es study. Nutr Metab Cardiovasc Dis 2014; 24:947-955. [PMID: 24984822 DOI: 10.1016/j.numecd.2014.04.019] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2013] [Revised: 04/29/2014] [Accepted: 04/30/2014] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND AIM Prevalence rates of "metabolically healthy obese" (MHO) subjects vary depending on the criteria used. This study examined the prevalence and characteristics of MHO subjects and metabolically abnormal normal-weight subjects and compared the findings with the NHANES 1999-2004 study. The aims of the present study were, first, to determine the prevalence rates of MHO and MNHNO subjects using the same criteria as those of the National Health and Nutrition Examination Survey (NHANES) (1999-2004) study, and second to compare the prevalence and correlates of obese subjects who are resistant to the development of adiposity-associated cardiometabolic abnormalities (CA) and normal-weight individuals who display cardiometabolic risk factor clustering between the Spanish and the US populations. METHODS AND RESULTS Di@bet.es study is a national, cross-sectional population-based survey of 5728 adults conducted in 2009-2010. Clinical, metabolic, sociodemographic, and anthropometric data and information about lifestyle habits, such as physical activity, smoking habit, alcohol intake and food consumption, were collected. Subjects were classified according to their body mass index (BMI) (normal-weight, <25 kg/m(2); overweight, 25-29.9 kg/m(2); and obese, >30 kg/m(2)). CA included elevated blood pressure; elevated levels of triglycerides, fasting glucose, and high-sensitivity C-reactive protein (hs-CRP); and elevated homeostasis model assessment of insulin resistance (HOMA-IR) value and low high-density lipoprotein cholesterol (HDL-c) level. Two phenotypes were defined: metabolically healthy phenotype (0-1 CA) and metabolically abnormal phenotype (≥2 CA). The prevalence of metabolically abnormal normal-weight phenotype was slightly lower in the Spanish population (6.5% vs. 8.1%). The prevalence of metabolically healthy overweight and MHO subjects was 20.9% and 7.0%, respectively, while in NHANES study it was 17.9% and 9.7%, respectively. Cigarette smoking was associated with CA in each phenotype, while moderate physical activity and moderate alcohol intake were associated with being metabolically healthy. Olive oil intake was negatively associated with the prevalence of CA. CONCLUSIONS Smoking, physical activity level, and alcohol intake contribute to the explanation of the prevalence of CA in the Spanish population, as in the US population. However in Spain, olive oil intake contributes significantly to the explanation of the variance in the prevalence of CA.
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Affiliation(s)
- Carolina Gutiérrez-Repiso
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; UGCI de Endocrinología y Nutrición, Hospital Regional Universitario, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain.
| | - Federico Soriguer
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; UGCI de Endocrinología y Nutrición, Hospital Regional Universitario, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Gemma Rojo-Martínez
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; UGCI de Endocrinología y Nutrición, Hospital Regional Universitario, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Eduardo García-Fuentes
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; UGCI de Endocrinología y Nutrición, Hospital Regional Universitario, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Sergio Valdés
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; UGCI de Endocrinología y Nutrición, Hospital Regional Universitario, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Albert Goday
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
| | - Alfonso Calle-Pascual
- Department of Endocrinology and Nutrition, Hospital Universitario S. Carlos de Madrid, Madrid, Spain
| | | | - Conxa Castell
- Public Health Division, Department of Health, Autonomous Government of Catalonia, Barcelona, Spain
| | - Edelmiro Menéndez
- Department of Endocrinology and Nutrition, Hospital Central de Asturias, Oviedo, Spain
| | - Elena Bordiú
- Laboratorio de Endocrinología, Hospital Universitario San Carlos de Madrid, Madrid, Spain
| | - Elías Delgado
- Department of Endocrinology and Nutrition, Hospital Central de Asturias, Oviedo, Spain
| | - Emilio Ortega
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; Endocrinology and Diabetes Unit, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer, (IDIBAPS), Universitat de Barcelona (UB), Barcelona, Spain
| | - Gemma Pascual-Manich
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain
| | - Inés Urrutia
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; Diabetes Research Group, Hospital Universitario de Cruces, UPV-EHU, Baracaldo, Spain
| | | | - Joan Vendrell
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; Department of Endocrinology and Nutrition, Hospital Universitario Joan XXIII, Institut d'Investigacions Sanitaries Pere Virgili, Tarragona, Spain
| | | | - Josep Franch
- EAP Raval Sud, Institut Català de la Salut, Red GEDAPS, Primary Care, Unitat de Suport a la Recerca (IDIAP - Fundació Jordi Gol), Barcelona, Spain
| | - Juan Girbés
- Diabetes Unit, Hospital Arnau de Vilanova, Valencia, Spain
| | - Luis Castaño
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; Diabetes Research Group, Hospital Universitario de Cruces, UPV-EHU, Baracaldo, Spain
| | - Manuel Serrano-Ríos
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; Lipids and Diabetes Laboratory, Instituto de Investigación Sanitaria del Hospital Clínico S. Carlos (IdISSC), Madrid, Spain
| | - María Teresa Martínez-Larrad
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; Lipids and Diabetes Laboratory, Instituto de Investigación Sanitaria del Hospital Clínico S. Carlos (IdISSC), Madrid, Spain
| | - Miguel Catalá
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; Department of Medicine and Endocrinology, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - Rafael Carmena
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; Department of Medicine and Endocrinology, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - Ramón Gomis
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; Endocrinology and Diabetes Unit, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer, (IDIBAPS), Universitat de Barcelona (UB), Barcelona, Spain
| | - Roser Casamitjana
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; Biomedic Diagnostic Centre University Hospital Clínic de Barcelona, Barcelona, Spain
| | - Sonia Gaztambide
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Spain; Diabetes Research Group, Hospital Universitario de Cruces, UPV-EHU, Baracaldo, Spain
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Valdés S, García-Torres F, Maldonado-Araque C, Goday A, Calle-Pascual A, Soriguer F, Castaño L, Catalá M, Gomis R, Rojo-Martínez G. Prevalencia de obesidad, diabetes mellitus y otros factores de riesgo cardiovascular en Andalucía. Comparación con datos de prevalencia nacionales. Estudio Di@bet.es. Rev Esp Cardiol 2014. [DOI: 10.1016/j.recesp.2013.09.031] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Ramos-Levi A, Sanchez-Pernaute A, Matia P, Cabrerizo L, Barabash A, Hernandez C, Calle-Pascual A, Torres A, Rubio M. Diagnosis of diabetes remission after bariatic surgery may be jeopardized by remission criteria and previous hypoglycemic treatment. Obes Surg 2014; 23:1520-6. [PMID: 23702908 DOI: 10.1007/s11695-013-0995-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Controversy exists regarding type 2 diabetes (T2D) remission rates after bariatric surgery (BS) due to heterogeneity in its definition and patients' baseline features. We evaluate T2D remission using recent criteria, according to preoperative characteristics and insulin therapy (IT). METHODS We performed a retrospective study from a cohort of 657 BS from a single center (2006-2011), of which 141 (57.4 % women) had T2D. We evaluated anthropometric and glucose metabolism parameters before surgery and at 1-year follow-up. T2D remission was defined according to 2009 consensus criteria: HbA1c <6%, fasting glucose (FG) <100 mg/dL, and absence of pharmacologic treatment. We analyzed diabetes remission according to previous treatment. RESULTS Preoperative characteristic were (mean ± SD): age 53.9 ± 9.8 years, BMI 43.7 ± 5.6 kg/m2, T2D duration 7.4 ± 7.6 years, FG 160.0 ± 54.6 mg/dL, HbA1c 7.6 ± 1.6%. Fifty-six (39.7%) individuals had IT. At 1-year follow-up, 74 patients (52.5%) had diabetes remission. Percentage weight loss (%WL) and percentage excess weight loss (%EWL) were associated to remission (35.5 ± 8.1 vs. 30.2 ± 9.5 %, p = 0.001; 73.6 ± 18.4 vs. 66.3 ± 22.8%, p = 0.037, respectively). Duration of diabetes, age, and female sex were associated to nonremission: 10.3 ± 9.4 vs. 4.7 ± 3.8 years, p < 0.001; 55.1 ± 9.3 vs. 51.2 ± 9.9 years, p = 0.017; 58.9 vs. 33.3%, p = 0.004, respectively. Prior treatment revealed differences in remission rates: 67.1 % in case of oral therapy (OT) vs. 30.4% in IT, p < 0.001. OR for T2D remission in patients with previous IT, compared to those with only OT, were 0.157-0.327 (p < 0.05), adjusting by different models. CONCLUSIONS Consensus criteria reveal lower T2D remission rates after BS than previously reported. Prior insulin use is a main setback for remission.
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Affiliation(s)
- Ana Ramos-Levi
- Department of Endocrinology and Nutrition, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), Facultad de Medicina, Universidad Complutense, C/ Prof. Martin Lagos s/n., Madrid, 28040, Spain,
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Valdés S, García-Torres F, Maldonado-Araque C, Goday A, Calle-Pascual A, Soriguer F, Castaño L, Catalá M, Gomis R, Rojo-Martínez G. Prevalence of obesity, diabetes and other cardiovascular risk factors in Andalusia (southern Spain). Comparison with national prevalence data. The Di@bet.es study. ACTA ACUST UNITED AC 2014; 67:442-8. [PMID: 24863592 DOI: 10.1016/j.rec.2013.09.029] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2013] [Accepted: 09/20/2013] [Indexed: 10/25/2022]
Abstract
INTRODUCTION AND OBJECTIVES The aim of this study was to compare the prevalences of obesity, diabetes and other cardiovascular risk factors in the region of Andalusia with those in the rest of Spain. METHODS The Di@bet.es study is a national, cross-sectional, population-based survey of cardiometabolic risk factors and their association with lifestyle. The sample consisted of 5103 participants ≥ 18 years. The variables analyzed were clinical, demographic and lifestyle survey, physical examination, and oral glucose tolerance test. The prevalence of cardiovascular risk factors in Andalusia (n=1517) was compared with that for the rest of Spain (n=3586). RESULTS In data adjusted to the Spanish population, the prevalence of diabetes (World Health Organization, 1999), hypertension (blood pressure ≥ 140/90 mmHg), high-sensitivity CRP levels (≥ 3 mg/L) and obesity (body mass index ≥ 30 kg/m(2)) were 16.3%, 43.9%, 32.0%, and 37.0% in Andalusia compared with 12.5%, 39.9%, 28.3%, and 26.6% in the rest of Spain (P<.001 for differences except P=.01 for the difference in high-sensitivity CRP levels). The corresponding figures for the Andalusia data adjusted to the Andalusian population were 15.3%, 42.3%, 31.4%, and 34.0%, respectively. Differences in diabetes, hypertension and high-sensitivity CRP were not significant in models adjusted for age, sex, and adiposity measurements. Differences in obesity were not significant in models adjusted for age, sex, educational level, marital status, work status, and physical activity (P=.086) CONCLUSIONS: This study contributes information from a national study perspective and shows a higher prevalence of cardiovascular risk factors in southern Spain, in close relation to obesity, a sedentary lifestyle, and markers of socioeconomic disadvantage.
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Affiliation(s)
- Sergio Valdés
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain; Servicio de Endocrinología y Nutrición, Hospital Universitario Carlos Haya, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain.
| | - Francisca García-Torres
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain; Servicio de Endocrinología y Nutrición, Hospital Universitario Carlos Haya, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Cristina Maldonado-Araque
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain; Servicio de Endocrinología y Nutrición, Hospital Universitario Carlos Haya, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Albert Goday
- Servicio de Endocrinología y Nutrición, Hospital del Mar, Barcelona, Spain
| | - Alfonso Calle-Pascual
- Servicio de Endocrinología y Nutrición, Hospital Universitario San Carlos, Madrid, Spain
| | - Federico Soriguer
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain; Servicio de Endocrinología y Nutrición, Hospital Universitario Carlos Haya, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Luis Castaño
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain; Unidad de Investigación, Hospital Universitario Cruces, Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Baracaldo, Vizcaya, Spain
| | - Miguel Catalá
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain; Departamento de Medicina y Endocrinología, Hospital Universitario de Valencia, Valencia, Spain
| | - Ramon Gomis
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
| | - Gemma Rojo-Martínez
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain; Servicio de Endocrinología y Nutrición, Hospital Universitario Carlos Haya, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
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Giugliano D, Tracz M, Shah S, Calle-Pascual A, Mistodie C, Duarte R, Sari R, Woo V, Jiletcovici AO, Deinhard J, Wille SA, Kiljanski J. Initiation and gradual intensification of premixed insulin lispro therapy versus Basal {+/-} mealtime insulin in patients with type 2 diabetes eating light breakfasts. Diabetes Care 2014; 37:372-80. [PMID: 24170763 DOI: 10.2337/dc12-2704] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We compared two strategies initiating and intensifying insulin treatment and tested for noninferiority of premixed insulin to basal ± mealtime insulin analog in patients eating light breakfasts. RESEARCH DESIGN AND METHODS This randomized, open-label, 48-week study compared two algorithms. Up to three injections of insulin lispro mix 25 and/or insulin lispro mix 50 (premix; premixed insulin lispro) or basal insulin glargine plus up to three injections of insulin lispro (basal+; glargine + insulin lispro) were used in type 2 diabetic patients uncontrolled with oral antihyperglycemic medication and consuming <15% daily calories at breakfast. The hypothesis was to test noninferiority of premix to basal+ for glycemic control measured by HbA1c after 48 weeks, assessed using ANCOVA with a 0.4% margin. RESULTS Patients (n = 344; 176 [51%] females; mean [SD] age 54.3 [8.8] years; BMI 29.4 [4.6] kg/m(2); baseline HbA1c 9.02 [0.97]%) were randomized to premix (n = 171) or basal+ (n = 173). In the per-protocol analysis (n = 230), least squares means (95% CI) end point HbA1c were 7.40% (7.15-7.65) and 7.55% (7.27-7.82) in respective arms. Between-treatment difference was -0.14% (-0.42 to 0.13), with noninferiority met. Significantly more patients in premix achieved HbA1c targets of <7.0% compared with basal+ (48.2 vs. 36.2%; P = 0.024). Self-monitored blood glucose profiles, body weight changes, total insulin doses, and overall hypoglycemia (65 vs. 60%) were similar in premix and basal+ (P = 0.494), except nocturnal episodes (34.3 vs. 23.7%; P = 0.018) were more common in premix. CONCLUSIONS Both intensive insulin strategies improved glycemic control; however, final HbA1c levels were seen above those achieved in previous treat-to-target trials, likely due to the inadequate insulin titrations and probably due to the complexity of tested insulin regimens. A higher percentage of patients achieved target HbA1c <7% with multiple premixed insulins, but this treatment resulted in more nocturnal hypoglycemia than a basal-bolus regimen.
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Martinez-Hervas S, Carmena R, Ascaso JF, Real JT, Masana L, Catalá M, Vendrell J, Vázquez JA, Valdés S, Urrutia I, Soriguer F, Serrano-Rios M, Rojo-Martínez G, Pascual-Manich G, Ortega E, Mora-Peces I, Menéndez E, Martínez-Larrad MT, López-Alba A, Gomis R, Goday A, Girbés J, Gaztambide S, Franch J, Delgado E, Castell C, Castaño L, Casamitjana R, Calle-Pascual A, Bordiú E. Prevalence of plasma lipid abnormalities and its association with glucose metabolism in Spain: the di@bet.es study. Clin Investig Arterioscler 2014; 26:107-14. [PMID: 24461346 DOI: 10.1016/j.arteri.2013.12.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2013] [Revised: 11/26/2013] [Accepted: 12/03/2013] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Dyslipidemia is a significant contributor to the elevated CVD risk observed in type 2 diabetes mellitus. We assessed the prevalence of dyslipidemia and its association with glucose metabolism status in a representative sample of the adult population in Spain and the percentage of subjects at guideline-recommended LDL-C goals. MATERIAL AND METHODS The di@bet.es study is a national, cross-sectional population-based survey of 5728 adults. RESULTS A total of 4776 subjects were studied. Dyslipidemia was diagnosed in 56.8% of subjects; only 13.2% of subjects were treated with lipid lowering drugs. Lipid abnormalities were found in 56.8% of Spanish adults: 23.3% with high LDL-C, 21.5% high TG, 35.8% high non-HDL-C, and 17.2% low HDL-C. Most normal subjects showed an LDL-C ≤ 3.36 mmol/l. Pre-diabetics presented similar proportion when considering a goal of 3.36 mmol/l, but only 35% of them reached an LDL-C goal ≤ 2.6 mmol/l. Finally, 45.3% of diabetics had an LDL-C ≤ 2.6 mmol/l, and only 11.3% achieved an LDL-C ≤ 1.8 mmol/l. CONCLUSIONS Our study demonstrates a high prevalence of dyslipidemia in the adult Spanish population, and a low use of lipid-lowering drugs. Moreover, the number of subjects achieving their corresponding LDL-C goal is small, particularly in subjects at high cardiovascular risk, such as diabetics.
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Affiliation(s)
- Sergio Martinez-Hervas
- Service of Encodrinology and Nutrition, Hospital Cliníco Universitario de Valencia, Valencia, Spain; Instituto de Investigación Sanitaria HCUV-INCLIVA, Spain; Department of Medicine, University of Valencia, Valencia, Spain; CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain.
| | - Rafael Carmena
- Service of Encodrinology and Nutrition, Hospital Cliníco Universitario de Valencia, Valencia, Spain; Instituto de Investigación Sanitaria HCUV-INCLIVA, Spain; Department of Medicine, University of Valencia, Valencia, Spain; CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain
| | - Juan F Ascaso
- Service of Encodrinology and Nutrition, Hospital Cliníco Universitario de Valencia, Valencia, Spain; Instituto de Investigación Sanitaria HCUV-INCLIVA, Spain; Department of Medicine, University of Valencia, Valencia, Spain; CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain
| | - Jose T Real
- Service of Encodrinology and Nutrition, Hospital Cliníco Universitario de Valencia, Valencia, Spain; Instituto de Investigación Sanitaria HCUV-INCLIVA, Spain; Department of Medicine, University of Valencia, Valencia, Spain; CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain
| | - Luis Masana
- CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain; Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Universitat Rovira i Virgili, IISPV, Reus, Tarragona, Spain
| | - Miguel Catalá
- Service of Encodrinology and Nutrition, Hospital Cliníco Universitario de Valencia, Valencia, Spain; Instituto de Investigación Sanitaria HCUV-INCLIVA, Spain; Department of Medicine, University of Valencia, Valencia, Spain; CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain
| | - Joan Vendrell
- CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain; Department of Endocrinology and Nutrition, Hospital Universitario Joan XXIII, Institut d'Investigacions Sanitàries Pere Virgili, Tarragona, Spain
| | | | - Sergio Valdés
- CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain; Department of Endocrinology and Nutrition, Hospital Universitario Carlos Haya, Málaga, Spain
| | - Inés Urrutia
- CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain; Diabetes Research Group, Hospital Universitario de Cruces, UPV-EHU, Baracaldo, Vizcaya, Spain
| | - Federico Soriguer
- CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain; Department of Endocrinology and Nutrition, Hospital Universitario Carlos Haya, Málaga, Spain
| | - Manuel Serrano-Rios
- CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain; Lipids and Diabetes Laboratory, Hospital Universitario S. Carlos de Madrid, Madrid, Spain
| | - Gemma Rojo-Martínez
- CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain; Department of Endocrinology and Nutrition, Hospital Universitario Carlos Haya, Málaga, Spain
| | - Gemma Pascual-Manich
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Emilio Ortega
- CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Canarian Health Service, Tenerife, Spain
| | | | - Edelmiro Menéndez
- Department of Endocrinology and Nutrition, Hospital Central de Asturias, Oviedo, Spain
| | - Maria T Martínez-Larrad
- CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain; Lipids and Diabetes Laboratory, Hospital Universitario S. Carlos de Madrid, Madrid, Spain
| | | | - Ramón Gomis
- CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Endocrinology and Diabetes Unit, Hospital Clínic de Barcelona, Universitat de Barcelona (UB), Barcelona, Spain
| | - Albert Goday
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
| | - Juan Girbés
- Diabetes Unit, Hospital Arnau de Vilanova, Valencia, Spain
| | - Sonia Gaztambide
- CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain; Diabetes Research Group, Hospital Universitario de Cruces, UPV-EHU, Baracaldo, Vizcaya, Spain
| | - Josep Franch
- EAP Raval Sud, Institut Català de la Salut, Red GEDAPS, Primary Care, Unitat de Suport a la Recerca (IDIAP-Fundació Jordi Gol), Barcelona, Spain
| | - Elías Delgado
- Department of Endocrinology and Nutrition, Hospital Central de Asturias, Oviedo, Spain
| | - Conxa Castell
- Public Health Division, Department of Health, Autonomous Government of Catalonia, Barcelona, Spain
| | - Luis Castaño
- CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain; Diabetes Research Group, Hospital Universitario de Cruces, UPV-EHU, Baracaldo, Vizcaya, Spain
| | - Roser Casamitjana
- CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Spain; Biomedic Diagnostic Centre University, Hospital Clínic, Barcelona, Spain
| | - Alfonso Calle-Pascual
- Department of Endocrinology and Nutrition, Hospital Universitario San Carlos, Madrid, Spain
| | - Elena Bordiú
- Laboratorio de Endocrinología, Hospital Universitario S. Carlos de Madrid, Spain
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Ortega E, Franch J, Castell C, Goday A, Ribas-Barba L, Soriguer F, Vendrell J, Casamitjana R, Bosch-Comas A, Bordiú E, Calle-Pascual A, Carmena R, Castaño L, Catalá M, Delgado E, Gaztambide S, Girbés J, López-Alba A, Martínez-Larrad MT, Menéndez E, Mora-Peces I, Pascual-Manich G, Rojo-Martínez G, Serrano-Rios M, Urrutía I, Valdés S, Vázquez JA, Gomis R. Mediterranean diet adherence in individuals with prediabetes and unknown diabetes: the Di@bet.es Study. Ann Nutr Metab 2013; 62:339-46. [PMID: 23838479 DOI: 10.1159/000346553] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2012] [Accepted: 12/16/2012] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND AIMS Mediterranean diet (MedDiet) is causally related to diabetes and is a dietary pattern recommended to individuals with diabetes. We investigated MedDiet adherence in individuals with prediabetes and unknown (PREDM/UKDM) or known diabetes (KDM) compared to those with normal glucose metabolism (NORMAL). METHODS This was a national, population-based, cross-sectional, cluster-sampling study. MedDiet adherence was scored (MedScore, mean ± SD 24 ± 5) using a qualitative food frequency questionnaire. Logistic regression was used to examine the association between MedScore and PREDM/UKDM or KDM versus control subjects. RESULTS We evaluated 5,076 individuals. Mean age was 50 years, 57% were female, 826 (582/244) were PREDM/UKDM, 478 were KDM and 3,772 were NORMAL. Mean age increased across MedScore tertiles (46, 51 and 56 years, p < 0.0001). Higher age-adjusted adherence to MedDiet (5-unit increment in the MedScore) was associated with lower and nondifferent odds (OR, 95% CI) of prevalent PREDM/UKDM (0.88, 0.81-0.96, p = 0.001) and KDM (0.97, 0.87-1.07, p = 0.279), respectively, compared to individuals in the NORMAL group. CONCLUSIONS In a representative sample of the whole Spanish population, MedDiet adherence is independently associated with PREDM/UKDM. Therapeutic intervention may be, in part, responsible for the lack of differences in adherence observed between the KDM and NORMAL groups. However, reverse causation bias cannot be ruled out in cross-sectional studies.
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Affiliation(s)
- E Ortega
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain.
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González-Estecha M, Martínez-García MJ, Fuentes-Ferrer M, Bodas-Pinedo A, Calle-Pascual A, Ordóñez-Iriarte JM, Fernández-Pérez C, Martell-Claros N, Rubio-Herrera MÁ, Gómez-Hoyos E, Guillén-Pérez JJ. Mercury in Canned Tuna in Spain. Is Light Tuna Really Light? ACTA ACUST UNITED AC 2013. [DOI: 10.4236/fns.2013.47a007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Montañez-Zorrilla MDC, Calle-Pascual A. [Non-pharmacological treatment of obesity]. Endocrinol Nutr 2013; 60 Suppl 1:15-18. [PMID: 24490219 DOI: 10.1016/s1575-0922(13)70019-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
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Pérez-Ferre N, Fernández D, Torrejón MJ, Del Prado N, Runkle I, Rubio MA, Montañez C, Bordiu E, Calle-Pascual A. Effect of lifestyle on the risk of gestational diabetes and obstetric outcomes in immigrant Hispanic women living in Spain. J Diabetes 2012; 4:432-8. [PMID: 22742428 DOI: 10.1111/j.1753-0407.2012.00221.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Data about the immigrant population living in Spain, their lifestyle habits, and risk factors for gestational diabetes mellitus (GDM) are limited. Thus, the aim of the present study was to describe risk factors for the onset of GDM, the evolution of gestation and delivery, and newborns of Hispanic women living in Spain compared with those of Spanish women. METHODS A semiquantitative questionnaire regarding lifestyle habits was administered to 459 pregnant women (115 Hispanic) with a positive O'Sullivan test (24-28 weeks gestation) between 1 April 2007 and 31 March 2008. Information was collected regarding gestation, delivery, and the newborn. RESULTS The prevalence of GDM increased with mother's age, pregestational overweight/obesity, and multiparity. In addition, GDM was associated with lower pregestational fiber and a lower intake of low glycaemic index foods in Hispanic women. The odds ratios (OR) for the total population were 2.53 (95% confidence interval [CI] 1.28-5.01) for overweight, 3.68 (95% CI 1.72-7.90) for obesity, 3.83 (95% 2.03-7.23) for age ≥35 years, and 1.64 (95% CI 1.02-3.01) for multiparity. Newborns from the Hispanic population were significantly heavier than newborns from Spanish women and the rate of Caesarean delivery was significantly higher in the Hispanic population with GDM compared with those without GDM. CONCLUSIONS The immigrant Hispanic population living in Spain trends to acquire the same risk factors associated with lifestyle to the indigenous population. Preventive strategies must stress increased physical activity and fiber intake, decreased intake of sweetened beverages, and an effective reduction in body weight before pregnancy.
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Affiliation(s)
- Natalia Pérez-Ferre
- Endocrinology and Nutrition Department, Hospital Clínico San Carlos, Madrid, Spain
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Soriguer F, Goday A, Bosch-Comas A, Bordiú E, Calle-Pascual A, Carmena R, Casamitjana R, Castaño L, Castell C, Catalá M, Delgado E, Franch J, Gaztambide S, Girbés J, Gomis R, Gutiérrez G, López-Alba A, Martínez-Larrad MT, Menéndez E, Mora-Peces I, Ortega E, Pascual-Manich G, Rojo-Martínez G, Serrano-Rios M, Valdés S, Vázquez JA, Vendrell J. Prevalence of diabetes mellitus and impaired glucose regulation in Spain: the Di@bet.es Study. Diabetologia 2012; 55:88-93. [PMID: 21987347 PMCID: PMC3228950 DOI: 10.1007/s00125-011-2336-9] [Citation(s) in RCA: 623] [Impact Index Per Article: 51.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2011] [Accepted: 09/19/2011] [Indexed: 11/01/2022]
Abstract
AIMS/HYPOTHESIS The Di@bet.es Study is the first national study in Spain to examine the prevalence of diabetes and impaired glucose regulation. METHODS A population-based, cross-sectional, cluster sampling study was carried out, with target population being the entire Spanish population. Five thousand and seventy-two participants in 100 clusters (health centres or the equivalent in each region) were randomly selected with a probability proportional to population size. Participation rate was 55.8%. Study variables were a clinical and demographic structured survey, lifestyle survey, physical examination (weight, height, BMI, waist and hip circumference, blood pressure) and OGTT (75 g). RESULTS Almost 30% of the study population had some carbohydrate disturbance. The overall prevalence of diabetes mellitus adjusted for age and sex was 13.8% (95% CI 12.8, 14.7%), of which about half had unknown diabetes: 6.0% (95% CI 5.4, 6.7%). The age- and sex-adjusted prevalence rates of isolated impaired fasting glucose (IFG), isolated impaired glucose tolerance (IGT) and combined IFG-IGT were 3.4% (95% CI 2.9, 4.0%), 9.2% (95% CI 8.2, 10.2%) and 2.2% (95% CI 1.7, 2.7%), respectively. The prevalence of diabetes and impaired glucose regulation increased significantly with age (p < 0.0001), and was higher in men than in women (p < 0.001). CONCLUSIONS/INTERPRETATION The Di@bet.es Study shows, for the first time, the prevalence rates of diabetes and impaired glucose regulation in a representative sample of the Spanish population.
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Affiliation(s)
- F Soriguer
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain.
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Vivas D, García-Rubira JC, Bernardo E, Angiolillo DJ, Martín P, Calle-Pascual A, Núñez-Gil I, Macaya C, Fernández-Ortiz A. Effects of intensive glucose control on platelet reactivity in patients with acute coronary syndromes. Results of the CHIPS Study ("Control de Hiperglucemia y Actividad Plaquetaria en Pacientes con Sindrome Coronario Agudo"). Heart 2011; 97:803-9. [PMID: 21378389 DOI: 10.1136/hrt.2010.219949] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVES Hyperglycaemia has been associated with increased platelet reactivity and impaired prognosis in patients with acute coronary syndrome (ACS). Whether platelet reactivity can be reduced by lowering glucose in this setting is unknown. The aim of this study was to assess the functional impact of intensive glucose control with insulin on platelet reactivity in patients admitted with ACS and hyperglycaemia. METHODS This is a prospective, randomised trial evaluating the effects of either intensive glucose control (target glucose 80-120 mg/dl) or conventional control (target glucose 180 mg/dl or less) with insulin on platelet reactivity in patients with ACS and hyperglycaemia. The primary endpoint was platelet aggregation following stimuli with 20 μM ADP at 24 h and at hospital discharge. Aggregation following collagen, epinephrine and thrombin receptor-activated peptide, as well as P2Y₁₂ reactivity index and surface expression of glycoprotein IIb/IIIa and P-selectin were also measured. RESULTS Of the 115 patients who underwent random assignment, 59 were assigned to intensive and 56 to conventional glucose control. Baseline platelet functions and inhospital management were similar in both groups. Maximal aggregation after ADP stimulation at hospital discharge was lower in the intensive group (47.9 ± 13.2% vs 59.1 ± 17.3%; p=0.002), whereas no differences were found at 24 h. Similarly all other parameters of platelet reactivity measured at hospital discharge were significantly reduced in the intensive glucose control group. CONCLUSIONS In this randomised trial, early intensive glucose control with insulin in patients with ACS presenting with hyperglycaemia was found to decrease platelet reactivity. Clinical Trial Registration Number http://www.controlledtrials.com/ISRCTN35708451/ISRCTN35708451.
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Affiliation(s)
- David Vivas
- Cardiovascular Institute, San Carlos University Hospital, Profesor Martin Lagos s/n 28040, Madrid, Spain.
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González-Clemente JM, Piniés JA, Calle-Pascual A, Saavedra A, Sánchez C, Bellido D, Martín-Folgueras T, Moraga I, Recasens A, Girbés J, Sánchez-Zamorano MA, Mauricio D. Cardiovascular risk factor management is poorer in diabetic patients with undiagnosed peripheral arterial disease than in those with known coronary heart disease or cerebrovascular disease. Results of a nationwide study in tertiary diabetes centres. Diabet Med 2008; 25:427-34. [PMID: 18341592 DOI: 10.1111/j.1464-5491.2008.02402.x] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
AIMS To assess whether patients with Type 2 diabetes mellitus and unrecognized peripheral arterial disease (PAD), detected by the ankle-brachial index (ABI), have poorer cardiovascular risk factor management (CVRFs) and receive fewer medications than patients previously diagnosed with coronary heart disease (CHD) or cerebrovascular disease (CVD). METHODS In 31 diabetes centres throughout Spain, 1303 patients with Type 2 diabetes mellitus were screened for PAD using the ABI. Patient history of CHD and CVD and treatment and control of CVRFs were recorded. RESULTS Forty-one patients had an ABI > 1.30 and were excluded, leaving 1262 patients (age 65.3 +/- 7.7 years) for the study. Of those screened, 790 patients had a normal ABI (ABI > 0.9) and no known history of CHD or CVD (no CHD/CVD/PAD group), 194 had unrecognized PAD (ABI < or = 0.9) with no known history of CHD or CVD (undiagnosed PAD group) and 278 had a known history of CHD and/or CVD (CHD/CVD group). The undiagnosed PAD group had higher low-density lipoprotein (LDL) cholesterol (2.9 +/- 0.83 vs. 2.4 +/- 0.84 mmol/l; P < 0.001) and systolic blood pressure (150 +/- 20 vs. 145 +/- 21 mmHg; P < 0.001) compared with the CHD/CVD group. They were less likely to take statins (56.9 vs. 71.6%; P < 0.001), anti-hypertensive agents (75.9 vs. 90.1%, P = 0.001), and anti-platelet agents (aspirin, 28.7 vs. 57.2%; P < 0.001; clopidogrel, 5.6 vs. 20.9%; P < 0.001) and more likely to smoke (21.0 vs. 9.2%; P < 0.001). Higher LDL in the undiagnosed PAD group was associated with the underutilization of statins. CONCLUSIONS Measurement of ABI detected a significant number of patients with PAD, who did not have CHD or CVD, but whose CVRFs were under treated and poorly controlled compared with subjects with CHD and/or CVD.
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Rejas-Gutiérrez J, Cabello-Santamaría F, Calle-Pascual A, Chantada-Abad V, Fora-Eroles F, García-García M, Rico-Villademoros F, Martínez-Sánchez EM. Validación de la versión española del cuestionario SEAR (Self-Esteem And Relationship Questionnaire) para varones con disfunción eréctil. Med Clin (Barc) 2005; 125:565-73. [PMID: 16277948 DOI: 10.1157/13080651] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
BACKGROUND AND OBJECTIVE The aim was to validate the Spanish version of the Self-Esteem and Relationship Questionnaire (SEAR), specific for patients with erectile dysfunction (ED), and based on the concept of self-esteem, for use in research and clinical practice in Spain. PATIENTS AND METHOD Observational, prospective, multisite, study comparing patients with ED (IIEF questionnaire score < 26 points), with a score (3/4) 16 points in the Self-Esteem domain of the SEAR questionnaire and undergoing treatment with sildenafil (group A), and healthy control subjects without ED. Patients with ED were assessed at baseline and after 3 months' treatment. RESULTS Among 586 evaluable subjects (504 patients with ED and 82 health subjects) the questionnaire showed: a) adequate feasibility with a percentage of patients without response < 5%; b) adequate reliability with Cronbach alpha coefficients for the total and all domains (Sexual-Relationship, Confidence, Self-Esteem, and Overall-Relationship), of SEAR questionnaire, respectively: 0.92, 0.89, 0.84, 0.75, and 0.82 un patients, and 0.86, 0.80, 0.73, 0.56 and 0.74 un healthy subjects; c) adequate discriminatory validity between patients and healthy subjects (Mann-Whitney test, p < 0.0001), and between patients with vaying degrees of ED (Kruskall-Wallis test, p < 0.05); d) adequate convergent/divergent validity (correlations > 0.5 with the IIEF questionnaire and r > 0.3 and < 0.5 with Mental Health domain score of SF-12 questionnaire); e) adequate construct validity, obtaining 2 domains: Sexual-Relationship, and Confidence, and f) adequate sensitivity to clinical changes (SES: 2.1/SRM: 1.5/SEM: 4.4/MID: 13.1). Mark scores were estimated. CONCLUSIONS The Spanish version of the SEAR questionnaire showed adequate and similar psychometric properties to those shown with the original English version.
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Affiliation(s)
- Javier Rejas-Gutiérrez
- Departamento de Farmacoepidemiología y Farmacoeconomía, Unidad Médica. Pfizer España, Alcobendas, Madrid, Spain
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Calle-Pascual A, Garcia-Honduvilla J, Martin-Alvarez PJ, Calle JR, Maranes JP. Influence of 16-week monotherapy with acarbose on cardiovascular risk factors in obese subjects with non-insulin-dependent diabetes mellitus: a controlled, double-blind comparison study with placebo. Diabetes Metab 1996; 22:201-2. [PMID: 8697309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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