María Jesús Guembe

Gobierno de Navarra

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Jaume Marrugat

Centro de Investigación Biomédica en Red

Roberto Elosúa

Centro de Investigación en Red en Enfermedades Cardiovasculares

Fernando Rigo

Imperial College London

María Grau

Universitat de Barcelona

Diana Gavrila

Università Cattolica del Sacro Cuore

Daniel Fernández‐Bergés

Universidad de Extremadura

José Miguel Baena-Díez

Institut Universitari d'Investigació en Atenció Primària Jordi Gol

Francisco Javier Félix-Redondo

Universidad de Extremadura

Antonio Segura

Universidad de Murcia

Antonio Cabrera de León

Hospital Universitario Nuestra Señora de Candelaria

Cooperative Institutions

Instituto de Salud Carlos III

Centro de Investigación Biomédica en Red

Universidad de Navarra

Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública

Navarre Institute of Health Research

Hospital Del Mar

Hospital del Mar Research Institute

Departamento de Salud

Municipal Institute for Medical Research

Institut Català de la Salut

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Interaction between cardiovascular risk factors and body mass index and 10-year incidence of cardiovascular disease, cancer death, and overall mortality

Preventive Medicine (2017)

María Barroso Albert Goday Rafel Ramos Alejandro Marín-Ibáñez María Jesús Guembe

Obesity paradox

10.1016/j.ypmed.2017.11.013

Cite

Citations (41)

Intervención clínica sobre los principales factores de riesgo vascular (estudio RIVANA)

Anales del Sistema Sanitario de Navarra (2009)

Carlos Amézqueta B. Bermejo María Jesús Guembe M.T. Artázcoz J.J. Viñes

Fundamento.El objetivo es describir la frecuencia de diagnóstico de los factores clásicos de riesgo vascular y de las intervenciones dietéticas y terapéuticas, así como su control

10.4321/s1137-66272009000500005

Cite

Citations (0)

Cardiovascular Risk Factors in Spain in the First Decade of the 21st Century, a Pooled Analysis With Individual Data From 11 Population-Based Studies: the DARIOS Study

Revista Española de Cardiología (English Edition) (2011)

María Grau Roberto Elosúa Antonio Cabrera de León María Jesús Guembe José Miguel Baena-Díez

Dyslipidemia

Lipid Profile

10.1016/j.rec.2010.11.005

Cite

Citations (243)

Risk of Cause-Specific Death in Individuals With Diabetes: A Competing Risks Analysis

Diabetes Care (2016)

José Miguel Baena-Díez Judit Peñafiel Isaac Subirana Rafel Ramos Roberto Elosúa

OBJECTIVE Diabetes is a common cause of shortened life expectancy. We aimed to assess the association between diabetes and cause-specific death. RESEARCH DESIGN AND METHODS We used the pooled analysis of individual data from 12 Spanish population cohorts with 10-year follow-up. Participants had no previous history of cardiovascular diseases and were 35–79 years old. Diabetes status was self-reported or defined as glycemia >125 mg/dL at baseline. Vital status and causes of death were ascertained by medical records review and linkage with the official death registry. The hazard ratios and cumulative mortality function were assessed with two approaches, with and without competing risks: proportional subdistribution hazard (PSH) and cause-specific hazard (CSH), respectively. Multivariate analyses were fitted for cardiovascular, cancer, and noncardiovascular noncancer deaths. RESULTS We included 55,292 individuals (15.6% with diabetes and overall mortality of 9.1%). The adjusted hazard ratios showed that diabetes increased mortality risk: 1) cardiovascular death, CSH = 2.03 (95% CI 1.63–2.52) and PSH = 1.99 (1.60–2.49) in men; and CSH = 2.28 (1.75–2.97) and PSH = 2.23 (1.70–2.91) in women; 2) cancer death, CSH = 1.37 (1.13–1.67) and PSH = 1.35 (1.10–1.65) in men; and CSH = 1.68 (1.29–2.20) and PSH = 1.66 (1.25–2.19) in women; and 3) noncardiovascular noncancer death, CSH = 1.53 (1.23–1.91) and PSH = 1.50 (1.20–1.89) in men; and CSH = 1.89 (1.43–2.48) and PSH = 1.84 (1.39–2.45) in women. In all instances, the cumulative mortality function was significantly higher in individuals with diabetes. CONCLUSIONS Diabetes is associated with premature death from cardiovascular disease, cancer, and noncardiovascular noncancer causes. The use of CSH and PSH provides a comprehensive view of mortality dynamics in a population with diabetes.

National Death Index

10.2337/dc16-0614

Cite

Citations (331)

Metabolic Syndrome in Spain: Prevalence and Coronary Risk Associated With Harmonized Definition and WHO Proposal. DARIOS Study

Revista Española de Cardiología (English Edition) (2012)

Daniel Fernández‐Bergés Antonio Cabrera de León Héctor Sanz Roberto Elosúa María Jesús Guembe

Abdominal obesity

10.1016/j.rec.2011.10.017

Cite

Citations (93)

Adaptation of the Framingham-Wilson Coronary Risk Equation for the Population of Navarra (RICORNA)

Revista Española de Cardiología (English Edition) (2009)

Paulino González Diego Conchi Moreno‐Iribas María Jesús Guembe J.J. Viñes Joan Vila

Framingham Heart Study

10.1016/s1885-5857(09)72652-0

Cite

Citations (5)

Risk Factor Treatment and Control in Relation to Coronary Disease Risk in the Spanish Population of the DARIOS Study

Revista Española de Cardiología (English Edition) (2011)

José Miguel Baena-Díez Francisco Javier Félix-Redondo María Grau Antonio Cabrera de León Héctor Sanz

10.1016/j.rec.2011.04.016

Cite

Citations (23)

Validity Assessment of Low-risk SCORE Function and SCORE Function Calibrated to the Spanish Population in the FRESCO Cohorts

Revista Española de Cardiología (English Edition) (2017)

José Miguel Baena-Díez Isaac Subirana Rafel Ramos Agustı́n Gómez de la Cámara Roberto Elosúa

Score

Standard score

10.1016/j.rec.2017.03.030

Cite

Citations (10)

[Study of vascular risk in Navarre: objectives and design. Prevalence of metabolic syndrome and of vascular risk factors].

PubMed (2007)

J.J. Viñes Javier Dı́ez María Jesús Guembe P. González Carlos Amézqueta

To determine in a representative sample of the population the prevalence of risk factors and metabolic syndrome; their association with sub-clinical atherosclerotic lesions and their impact on cardiocerebrovascular disease 10 years after.(Phase 1) Cross sectional survey of a random sample stratified by age and sex of the population of Navarre aged between 35 and 84. Antecedents, risk factors, physical and analytical exploration. (Phase II) Ten year follow-up cohort study, in 500 exposed to MS and 500 not exposed persons, aged between 45 and 74 years; with an 82.25% power to detect a risk ratio of 2; with analytical and image markers of sub-clinical atherosclerosis. (Phase III) Follow up of vascular events at ten years.The subjects recruited were 6,553; excluded or not found 871; the final sample was 5,682 (2,644 men and 3,038 women); 4,168 (73,4%) took part in the study. The prevalence of MS was 22.1% (95%CI 20.5 - 23.7) for men and 17,2% (95%CI 15.8 - 18.5) for women. The main cardiovascular RF were high compared to other geographical areas except for HDL cholesterol. The rate was 8.5% (95%CI 7.4 - 9.6) for men and 1.7% (95%CI 1.3 - 2.2)There are important differences in risk between sex, being worst for men. The high figures for HDL cholesterol and the low prevalence of MS might mean a lower risk of vascular events in Navarra.

Cross-sectional study

Source

Cite

Citations (8)

Prevalence of obesity and associated cardiovascular risk: the DARIOS study

BMC Public Health (2013)

Francisco Javier Félix-Redondo María Grau José Miguel Baena-Díez Irene R. Dégano Antonio Cabrera de León

Abstract Background To estimate the prevalence of overweight and obesity in the Spanish population as measured with body mass index (BMI), waist circumference (WC) and waist to height ratio (WHtR) and to determine the associated cardiovascular risk factors. Methods Pooled analysis with individual data from 11 studies conducted in the first decade of the 21st century. Participants aged 35–74 years were asked about the history of cardiovascular diseases, hypertension, diabetes and hypercholesterolemia. Height, weight, WC, blood pressure, glycaemia, total cholesterol, low-density and high-density lipoprotein cholesterol and coronary risk were measured. The prevalence of overweight (BMI 25–29.9 kg/m 2 ), general obesity (BMI ≥30 kg/m 2 ), suboptimal WC (≥ 80 cm and < 88 in women, ≥ 94 and < 102 in men), abdominal obesity (WC ≥88 cm ≥102 cm in women and men, respectively) and WHtR ≥0.5 was estimated, standardized for the European population. Results We included 28,743 individuals. The prevalence of overweight and suboptimal WC was 51% and 30% in men and 36% and 22% in women, respectively; general obesity was 28% in both sexes and abdominal obesity 36% in men and 55% in women. The prevalence of WHtR ≥0.5 was 89% and 77% in men and women, respectively. All cardiovascular risk factors were significantly associated with abnormal increased values of BMI, WC and WHtR. Hypertension showed the strongest association with overweight [OR = 1.99 (95% confidence interval 1.81-2.21) and OR = 2.10 (1.91-2.31)]; suboptimal WC [OR = 1.78 (1.60-1.97) and OR = 1.45 (1.26-1.66)], with general obesity [OR = 4.50 (4.02-5.04), and OR = 5.20 (4.70-5.75)] and with WHtR ≥0.5 [OR = 2.94 (2.52-3.43), and OR = 3.02 (2.66-3.42)] in men and women respectively, besides abdominal obesity in men only [OR = 3.51 (3.18-3.88)]. Diabetes showed the strongest association with abdominal obesity in women [OR = 3,86 (3,09-4,89). Conclusions The prevalence of obesity in Spain was high. Overweight, suboptimal WC, general, abdominal obesity and WHtR ≥0.5 was significantly associated with diabetes, hypertension, hypercholesterolemia and coronary risk. The use of lower cut-off points for both BMI and particularly WC and could help to better identify the population at risk and therefore achieve more effective preventive measures.

Biostatistics

10.1186/1471-2458-13-542

Cite

Citations (64)