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Rodriguez-Espinosa N, Moro Miguel A, Rodriguez-Perez MDC, Almeida-Gonzalez D, Cabrera de Leon A. Adherence to the Mediterranean diet and waist-to-hip ratio in middle-aged postmenopausal women are the main factors associated with semantic verbal fluency 12 years later. Front Nutr 2023; 10:1106629. [PMID: 37255942 PMCID: PMC10226530 DOI: 10.3389/fnut.2023.1106629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 02/21/2023] [Indexed: 06/01/2023] Open
Abstract
Few studies have analized the effect of vascular risk factors and lifestyle habits affecting the middle age of postmenopausal women on later cognitive performance in old age. We have carried out an observational study to identify those factors and whether they differ from those acting in men. Postmenopausal women and males, both aged 40-60 years old at recruitment, from a community dwelling cohort were included. Data for this study were collected from the first visit at recruitment (2001 to 2005). Participants were interviewed with a questionnaire on their health-related antecedents and underwent a physical exam. The cohort was contacted again for a new presential visit between 2014 and 2015. A semantic verbal fluency test was included in this new visit protocol as a brief measure of cognition. Besides educational attainment, Mediterranean diet adherence 20th percentile (OR = 1.93; 95%CI = 1.07-3.47) and waist to hip ratio 80th percentile (OR = 1.81; 95%CI = 1.10-2,98) were the main factors associated to low semantic fluency performance in postmenopausal women, while declared diabetes mellitus (OR = 2.24; 95%CI = 1.16-4,33), HOMA 2 insulin resistance index (OR = 1.77; 95%CI =1.04-3,02), light physical activity in leisure time (OR = 0.41; 95%CI = 0.19-0,93) and recommended moderate to vigorous physical activity (OR = 2.09; 95%CI = 1.23-3.56) did in men. Factors in middle age that explain semantic verbal fluency in old age are different between postmenopausal women and men. Menopause related fat redistribution may be a precondition for other vascular risk factors. The effect of Mediterranean diet on cognition deserves new specific studies centered on postmenopausal women as group.
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Affiliation(s)
- Norberto Rodriguez-Espinosa
- Unidad de Neurología de la Memoria, Servicio de Neurología, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
| | - Adoración Moro Miguel
- Unidad de Neurología de la Memoria, Servicio de Neurología, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
| | - Maria del Cristo Rodriguez-Perez
- Unidad de Investigación de Atención Primaria, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
| | - Delia Almeida-Gonzalez
- Sección de Inmunología, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
| | - Antonio Cabrera de Leon
- Unidad de Investigación de Atención Primaria, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
- Area de Medicina Preventiva y Salud Pública, Universidad de La Laguna, San Cristóbal de La Laguna, Spain
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Alaminos-Torres A, Martínez-Álvarez JR, López-Ejeda N, Marrodán-Serrano MD. Atherogenic Risk, Anthropometry, Diet and Physical Activity in a Sample of Spanish Commercial Airline Pilots. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19074128. [PMID: 35409811 PMCID: PMC8998253 DOI: 10.3390/ijerph19074128] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 03/21/2022] [Accepted: 03/23/2022] [Indexed: 12/04/2022]
Abstract
Cardiovascular accidents are the most disabling event for pilots, causing complicated situations during flight and the withdrawal of license. The study aims to assess the modifiable risk factors and the atherogenic index of plasma (AIP) associated with anthropometric, physiometabolic and lifestyle profiles in a sample of Spanish aviation pilots. Data from pilots’ clinical and professional history, anthropometric and bioelectrical impedance assessments of nutritional status, and diet and physical activity questionnaires. The sample comprised 304 men pilots. Up to 53.6% showed excess weight, of which 6.4% were obese, 64.3% presented high relative adiposity and 64.6% showed abdominal obesity. Regarding the physiometabolic profile, 10.0% had hypertension, 42.6% hypercholesterolemia, 9.4% high LDL and 10.6% low HDL, 9.4% hyperglycemia and 8.1% hypertriglyceridemia. The adherence to the Mediterranean diet (MedDiet) was high in 29.7% and low in 14.7%. Most of the sample showed a good physical activity level. The AIP risk increased with higher obesity indicators and LDL cholesterol levels. There was an inverse relationship between the MedDiet adherence and vigorous physical activity and the risk of atherogenicity. Elevated rates of overweight, abdominal obesity and hypercholesterolemia were found, contributing to the atherogenic risk of plasma (AIP). This parameter was significantly associated with all anthropometric indicators and LDL cholesterol. Prevention plans on reducing excess fat and blood cholesterol levels are recommended to reduce cardiovascular risk in Spanish aviation pilots and ensure flight safety.
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Affiliation(s)
- Ana Alaminos-Torres
- Physical Anthropology Unit, Department of Biodiversity, Ecology and Evolution, Faculty of Biological Sciences, Complutense University of Madrid, 28040 Madrid, Spain;
- EPINUT Research Group (ref. 920325), Faculty of Medicine, Complutense University of Madrid, 28040 Madrid, Spain;
- Correspondence: (A.A.-T.); (M.D.M.-S.)
| | - Jesús Román Martínez-Álvarez
- EPINUT Research Group (ref. 920325), Faculty of Medicine, Complutense University of Madrid, 28040 Madrid, Spain;
- Spanish Society of Dietetics and Food Sciences, Pozuelo de Alarcón, 28224 Madrid, Spain
| | - Noemi López-Ejeda
- Physical Anthropology Unit, Department of Biodiversity, Ecology and Evolution, Faculty of Biological Sciences, Complutense University of Madrid, 28040 Madrid, Spain;
- EPINUT Research Group (ref. 920325), Faculty of Medicine, Complutense University of Madrid, 28040 Madrid, Spain;
| | - Maria Dolores Marrodán-Serrano
- Physical Anthropology Unit, Department of Biodiversity, Ecology and Evolution, Faculty of Biological Sciences, Complutense University of Madrid, 28040 Madrid, Spain;
- EPINUT Research Group (ref. 920325), Faculty of Medicine, Complutense University of Madrid, 28040 Madrid, Spain;
- Spanish Society of Dietetics and Food Sciences, Pozuelo de Alarcón, 28224 Madrid, Spain
- Correspondence: (A.A.-T.); (M.D.M.-S.)
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Romero-Saldaña M, Tauler P, Vaquero-Abellán M, López-González AA, Fuentes-Jiménez FJ, Aguiló A, Álvarez-Fernández C, Molina-Recio G, Bennasar-Veny M. Validation of a non-invasive method for the early detection of metabolic syndrome: a diagnostic accuracy test in a working population. BMJ Open 2018; 8:e020476. [PMID: 30344164 PMCID: PMC6196859 DOI: 10.1136/bmjopen-2017-020476] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
OBJECTIVES A non-invasive method for the early detection of metabolic syndrome (NIM-MetS) using only waist-to-height ratio (WHtR) and blood pressure (BP) has recently been published, with fixed cut-off values for gender and age. The aim of this study was to validate this method in a large sample of Spanish workers. DESIGN A diagnostic test accuracy to assess the validity of the method was performed. SETTING Occupational health services. PARTICIPANTS The studies were conducted in 2012-2016 on a sample of 60 799 workers from the Balearic Islands (Spain). INTERVENTIONS The NCEP-ATP III criteria were used as the gold standard. NIM-MetS has been devised using classification trees (the χ2 automatic interaction detection method). MAIN OUTCOME MEASURES Anthropometric and biochemical variables to diagnose MetS. Sensitivity, specificity, validity index and Youden Index were determined to analyse the accuracy of the diagnostic test (NIM-MetS). RESULTS With regard to the validation of the method, sensitivity was 54.7%, specificity 94.9% and the Validity Index 91.2%. The cut-off value for WHtR was 0.54, ranging from 0.51 (lower age group) to 0.56 (higher age group). Variables more closely associated with MetS were WHtR (area under the curve (AUC)=0.85; 95% CI 0.84 to 0.86) and systolic BP (AUC=0.79; 95% CI 0.78 to 0.80)). The final cut-off values for the non-invasive method were WHtR ≥0.56 and BP ≥128/80 mm Hg, which includes four levels of MetS risk (very low, low, moderate and high). CONCLUSIONS The analysed method has shown a high validity index (higher than 91%) for the early detection of MetS. It is a non-invasive method that is easy to apply and interpret in any healthcare setting. This method provides a scale of MetS risk which allows more accurate detection and more effective intervention.
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Affiliation(s)
| | - Pedro Tauler
- Department of Fundamental Biology and Health Sciences, University of the Balearic Islands, Palma, Spain
- Research Group on Evidence, Lifestyles & Health, Research Institute on Health Sciences (IUNICS), University of the Balearic Islands, Palma, Spain
| | - Manuel Vaquero-Abellán
- Department of Occupational Risk Prevention and Environmental Protection, University of Córdoba, Córdoba, Spain
| | | | - Francisco-José Fuentes-Jiménez
- IMIBIC, Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
- CIBER Physiopathology of Obesity and Nutrition CIBEROBN, ISCIII, Madrid, Spain
| | - Antoni Aguiló
- Research Group on Evidence, Lifestyles & Health, Research Institute on Health Sciences (IUNICS), University of the Balearic Islands, Palma, Spain
- Nursing and Physiotherapy Department, University of the Balearic Islands, Palma, Spain
| | | | - Guillermo Molina-Recio
- Department of Nursing, School of Medicine and Nursing, University of Córdoba, Córdoba, Spain
| | - Miquel Bennasar-Veny
- Research Group on Evidence, Lifestyles & Health, Research Institute on Health Sciences (IUNICS), University of the Balearic Islands, Palma, Spain
- Nursing and Physiotherapy Department, University of the Balearic Islands, Palma, Spain
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Sangrós FJ, Torrecilla J, Giráldez-García C, Carrillo L, Mancera J, Mur T, Franch J, Díez J, Goday A, Serrano R, García-Soidán FJ, Cuatrecasas G, Igual D, Moreno A, Millaruelo JM, Carramiñana F, Ruiz MA, Pérez FC, Iriarte Y, Lorenzo Á, González M, Álvarez B, Barutell L, Mayayo MS, del Castillo M, Navarro E, Malo F, Cambra A, López R, Gutiérrez MÁ, Gutiérrez L, Boente C, Mediavilla JJ, Prieto L, Mendo L, Mansilla MJ, Ortega FJ, Borras A, Sánchez LG, Obaya JC, Alonso M, García F, Gutiérrez ÁT, Hernández AM, Suárez D, Álvarez JC, Sáenz I, Martínez FJ, Casorrán A, Ripoll J, Salanova A, Marín MT, Gutiérrez F, Innerárity J, Álvarez MDM, Artola S, Bedoya MJ, Poveda S, Álvarez F, Brito MJ, Iglesias R, Paniagua F, Nogales P, Gómez Á, Rubio JF, Durán MC, Sagredo J, Gijón MT, Rollán MÁ, Pérez PP, Gamarra J, Carbonell F, García-Giralda L, Antón JJ, de la Flor M, Martínez R, Pardo JL, Ruiz A, Plana R, Macía R, Villaró M, Babace C, Torres JL, Blanco C, Jurado Á, Martín JL, Navarro J, Sanz G, Colas R, Cordero B, de Castro C, Ibáñez M, Monzón A, Porta N, Gómez MDC, Llanes R, Rodríguez JJ, Granero E, Sánchez M, Martínez J, et alSangrós FJ, Torrecilla J, Giráldez-García C, Carrillo L, Mancera J, Mur T, Franch J, Díez J, Goday A, Serrano R, García-Soidán FJ, Cuatrecasas G, Igual D, Moreno A, Millaruelo JM, Carramiñana F, Ruiz MA, Pérez FC, Iriarte Y, Lorenzo Á, González M, Álvarez B, Barutell L, Mayayo MS, del Castillo M, Navarro E, Malo F, Cambra A, López R, Gutiérrez MÁ, Gutiérrez L, Boente C, Mediavilla JJ, Prieto L, Mendo L, Mansilla MJ, Ortega FJ, Borras A, Sánchez LG, Obaya JC, Alonso M, García F, Gutiérrez ÁT, Hernández AM, Suárez D, Álvarez JC, Sáenz I, Martínez FJ, Casorrán A, Ripoll J, Salanova A, Marín MT, Gutiérrez F, Innerárity J, Álvarez MDM, Artola S, Bedoya MJ, Poveda S, Álvarez F, Brito MJ, Iglesias R, Paniagua F, Nogales P, Gómez Á, Rubio JF, Durán MC, Sagredo J, Gijón MT, Rollán MÁ, Pérez PP, Gamarra J, Carbonell F, García-Giralda L, Antón JJ, de la Flor M, Martínez R, Pardo JL, Ruiz A, Plana R, Macía R, Villaró M, Babace C, Torres JL, Blanco C, Jurado Á, Martín JL, Navarro J, Sanz G, Colas R, Cordero B, de Castro C, Ibáñez M, Monzón A, Porta N, Gómez MDC, Llanes R, Rodríguez JJ, Granero E, Sánchez M, Martínez J, Ezkurra P, Ávila L, de la Sen C, Rodríguez A, Buil P, Gabriel P, Roura P, Tarragó E, Mundet X, Bosch R, González JC, Bobé MI, Mata M, Ruiz I, López F, Birules M, Armengol O, de Miguel RM, Romera L, Benito B, Piulats N, Bilbeny B, Cabré JJ, Cos X, Pujol R, Seguí M, Losada C, de Santiago AM, Muñoz P, Regidor E. Asociación de obesidad general y abdominal con hipertensión, dislipemia y presencia de prediabetes en el estudio PREDAPS. Rev Esp Cardiol 2018. [DOI: 10.1016/j.recesp.2017.04.010] [Show More Authors] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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5
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Sangrós FJ, Torrecilla J, Giráldez-García C, Carrillo L, Mancera J, Mur T, Franch J, Díez J, Goday A, Serrano R, García-Soidán FJ, Cuatrecasas G, Igual D, Moreno A, Millaruelo JM, Carramiñana F, Ruiz MA, Pérez FC, Iriarte Y, Lorenzo Á, González M, Álvarez B, Barutell L, Mayayo MS, Del Castillo M, Navarro E, Malo F, Cambra A, López R, Gutiérrez MÁ, Gutiérrez L, Boente C, Mediavilla JJ, Prieto L, Mendo L, Mansilla MJ, Ortega FJ, Borras A, Sánchez LG, Obaya JC, Alonso M, García F, Gutiérrez ÁT, Hernández AM, Suárez D, Álvarez JC, Sáenz I, Martínez FJ, Casorrán A, Ripoll J, Salanova A, Marín MT, Gutiérrez F, Innerárity J, Álvarez MDM, Artola S, Bedoya MJ, Poveda S, Álvarez F, Brito MJ, Iglesias R, Paniagua F, Nogales P, Gómez Á, Rubio JF, Durán MC, Sagredo J, Gijón MT, Rollán MÁ, Pérez PP, Gamarra J, Carbonell F, García-Giralda L, Antón JJ, de la Flor M, Martínez R, Pardo JL, Ruiz A, Plana R, Macía R, Villaró M, Babace C, Torres JL, Blanco C, Jurado Á, Martín JL, Navarro J, Sanz G, Colas R, Cordero B, de Castro C, Ibáñez M, Monzón A, Porta N, Gómez MDC, Llanes R, Rodríguez JJ, Granero E, Sánchez M, Martínez J, et alSangrós FJ, Torrecilla J, Giráldez-García C, Carrillo L, Mancera J, Mur T, Franch J, Díez J, Goday A, Serrano R, García-Soidán FJ, Cuatrecasas G, Igual D, Moreno A, Millaruelo JM, Carramiñana F, Ruiz MA, Pérez FC, Iriarte Y, Lorenzo Á, González M, Álvarez B, Barutell L, Mayayo MS, Del Castillo M, Navarro E, Malo F, Cambra A, López R, Gutiérrez MÁ, Gutiérrez L, Boente C, Mediavilla JJ, Prieto L, Mendo L, Mansilla MJ, Ortega FJ, Borras A, Sánchez LG, Obaya JC, Alonso M, García F, Gutiérrez ÁT, Hernández AM, Suárez D, Álvarez JC, Sáenz I, Martínez FJ, Casorrán A, Ripoll J, Salanova A, Marín MT, Gutiérrez F, Innerárity J, Álvarez MDM, Artola S, Bedoya MJ, Poveda S, Álvarez F, Brito MJ, Iglesias R, Paniagua F, Nogales P, Gómez Á, Rubio JF, Durán MC, Sagredo J, Gijón MT, Rollán MÁ, Pérez PP, Gamarra J, Carbonell F, García-Giralda L, Antón JJ, de la Flor M, Martínez R, Pardo JL, Ruiz A, Plana R, Macía R, Villaró M, Babace C, Torres JL, Blanco C, Jurado Á, Martín JL, Navarro J, Sanz G, Colas R, Cordero B, de Castro C, Ibáñez M, Monzón A, Porta N, Gómez MDC, Llanes R, Rodríguez JJ, Granero E, Sánchez M, Martínez J, Ezkurra P, Ávila L, de la Sen C, Rodríguez A, Buil P, Gabriel P, Roura P, Tarragó E, Mundet X, Bosch R, González JC, Bobé MI, Mata M, Ruiz I, López F, Birules M, Armengol O, de Miguel RM, Romera L, Benito B, Piulats N, Bilbeny B, Cabré JJ, Cos X, Pujol R, Seguí M, Losada C, de Santiago AM, Muñoz P, Regidor E. Association of General and Abdominal Obesity With Hypertension, Dyslipidemia and Prediabetes in the PREDAPS Study. ACTA ACUST UNITED AC 2017; 71:170-177. [PMID: 28789915 DOI: 10.1016/j.rec.2017.04.035] [Show More Authors] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Accepted: 04/06/2017] [Indexed: 11/30/2022]
Abstract
INTRODUCTION AND OBJECTIVES Some anthropometric measurements show a greater capacity than others to identify the presence of cardiovascular risk factors. This study estimated the magnitude of the association of different anthropometric indicators of obesity with hypertension, dyslipidemia, and prediabetes (altered fasting plasma glucose and/or glycosylated hemoglobin). METHODS Cross-sectional analysis of information collected from 2022 participants in the PREDAPS study (baseline phase). General obesity was defined as body mass index ≥ 30kg/m2 and abdominal obesity was defined with 2 criteria: a) waist circumference (WC) ≥ 102cm in men/WC ≥ 88cm in women, and b) waist-height ratio (WHtR) ≥ 0.55. The magnitude of the association was estimated by logistic regression. RESULTS Hypertension showed the strongest association with general obesity in women (OR, 3.01; 95%CI, 2.24-4.04) and with abdominal obesity based on the WHtR criterion in men (OR, 3.65; 95%CI, 2.66-5.01). Hypertriglyceridemia and low levels of high-density lipoprotein cholesterol showed the strongest association with abdominal obesity based on the WHtR criterion in women (OR, 2.49; 95%CI, 1.68-3.67 and OR, 2.70; 95%CI, 1.89-3.86) and with general obesity in men (OR, 2.06; 95%CI, 1.56-2.73 and OR, 1.68; 95%CI, 1.21-2.33). Prediabetes showed the strongest association with abdominal obesity based on the WHtR criterion in women (OR, 2.48; 95%CI, 1.85-3.33) and with abdominal obesity based on the WC criterion in men (OR, 2.33; 95%CI, 1.75-3.08). CONCLUSIONS Abdominal obesity indicators showed the strongest association with the presence of prediabetes. The association of anthropometric indicators with hypertension and dyslipidemia showed heterogeneous results.
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Affiliation(s)
- F Javier Sangrós
- Atención Primaria, Centro de Salud Torrero-La Paz, Zaragoza, Spain
| | - Jesús Torrecilla
- Atención Primaria, Centro de Salud Bombarda-Monsalud, Zaragoza, Spain
| | - Carolina Giráldez-García
- Servicio de Medicina Preventiva, Hospital Universitario Infanta Elena, Valdemoro, Madrid, Spain; Departamento de Medicina Preventiva, Salud Pública e Historia de la Ciencia, Universidad Complutense de Madrid, Madrid, Spain.
| | - Lourdes Carrillo
- Atención Primaria, Centro de Salud La Victoria de Acentejo, La Victoria de Acentejo, Santa Cruz de Tenerife, Spain
| | - José Mancera
- Atención Primaria, Centro de Salud Ciudad Jardín, Málaga, Spain
| | - Teresa Mur
- Atención Primaria, Centro de Atención Primaria Terrassa Sud, Terrassa, Barcelona, Spain
| | - Josep Franch
- Equipo de Atención Primaria, Centro de Salud Raval Sud, Barcelona, Spain
| | - Javier Díez
- Atención Primaria, Centro de Salud Tafalla, Tafalla, Navarra, Spain
| | - Albert Goday
- Servicio de Endocrinología y Nutrición, Hospital del Mar, Barcelona, Spain
| | - Rosario Serrano
- Atención Primaria, Centro de Salud Martín de Vargas, Madrid, Spain
| | | | | | - Dimas Igual
- Atención Primaria, Centro de Salud Manuel Encinas, Cáceres, Spain
| | - Ana Moreno
- Atención Primaria, Centro de Salud San Roque, Badajoz, Spain
| | | | | | | | | | - Yon Iriarte
- Atención Primaria, Centro de Salud Aizarnazabal-Getaria, Guipúzcua, Spain
| | - Ángela Lorenzo
- Atención Primaria, Centro de Salud Alcalá de Guadaira, Madrid, Spain
| | - María González
- Atención Primaria, Centro de Salud Alcantarilla-Sangonera, Alcantarilla, Murcia, Spain
| | - Beatriz Álvarez
- Atención Primaria, Centro de Salud Andrés Mellado, Madrid, Spain
| | - Lourdes Barutell
- Atención Primaria, Centro de Salud Andrés Mellado, Madrid, Spain
| | - M Soledad Mayayo
- Atención Primaria, Centro de Salud Martín de Vargas, Madrid, Spain
| | | | - Emma Navarro
- Atención Primaria, Centro de Salud Añaza, Añaza, Santa Cruz de Tenerife, Spain
| | - Fernando Malo
- Atención Primaria, Centro de Salud Ares, Ares, A Coruña, Spain
| | - Ainhoa Cambra
- Atención Primaria, Centro de Salud Arrabal, Zaragoza, Spain
| | - Riánsares López
- Atención Primaria, Centro de Salud Artilleros, Madrid, Spain
| | | | - Luisa Gutiérrez
- Atención Primaria, Centro de Salud Errenteria-Beraun, Rentería, Guipúzcoa, Spain
| | - Carmen Boente
- Atención Primaria, Centro de Salud Porriño, Porriño, Pontevedra, Spain
| | | | - Luis Prieto
- Atención Primaria, Centro de Salud Cáceres-La Mejostilla, Cáceres, Spain
| | - Luis Mendo
- Atención Primaria, Centro de Salud Cadreita, Cadreita, Navarra, Spain
| | - M José Mansilla
- Atención Primaria, Centro de Salud Martín de Vargas, Madrid, Spain
| | | | - Antonia Borras
- Atención Primaria, Centro de Salud Canal Salat, Ciutadella, Balearic Islands, Spain
| | - L Gabriel Sánchez
- Atención Primaria, Centro de Salud Carballeda, Mombuey, Zamora, Spain
| | - J Carlos Obaya
- Atención Primaria, Centro de Salud Chopera, Alcobendas, Madrid, Spain
| | - Margarita Alonso
- Atención Primaria, Centro de Salud La Eria, Oviedo, Asturias, Spain
| | - Francisco García
- Atención Primaria, Centro de Salud Don Benito Este, Badajoz, Spain
| | | | - Ana M Hernández
- Atención Primaria, Centro de Salud El Calero, Las Palmas, Spain
| | - Dulce Suárez
- Atención Primaria, Centro de Salud El Calero, Las Palmas, Spain
| | | | - Isabel Sáenz
- Atención Primaria, Centro de Salud Espronceda, Madrid, Spain
| | | | - Ana Casorrán
- Atención Primaria, Centro de Salud Fuente de San Luis, Valencia, Spain
| | - Jazmín Ripoll
- Atención Primaria, Centro de Salud Fuente de San Luis, Valencia, Spain
| | | | - M Teresa Marín
- Atención Primaria, Centro de Salud General Ricardos, Madrid, Spain
| | - Félix Gutiérrez
- Atención Primaria, Centro de Salud Bombarda-Monsalud, Zaragoza, Spain
| | - Jaime Innerárity
- Atención Primaria, Centro de Salud Hereza, Leganés, Madrid, Spain
| | | | - Sara Artola
- Atención Primaria, Centro de Salud Hereza, Leganés, Madrid, Spain
| | - M Jesús Bedoya
- Atención Primaria, Centro de Salud Hereza, Leganés, Madrid, Spain
| | - Santiago Poveda
- Atención Primaria, Centro de Salud Jumilla, Jumilla, Murcia, Spain
| | - Fernando Álvarez
- Atención Primaria, Centro de Salud La Calzada II, Gijón, Asturias, Spain
| | - M Jesús Brito
- Atención Primaria, Centro de Salud La Matanza, Santa Cruz de Tenerife, Spain
| | - Rosario Iglesias
- Atención Primaria, Centro de Salud Pedro Lain Entralgo, Alcorcón, Madrid, Spain
| | | | - Pedro Nogales
- Atención Primaria, Centro de Salud Las Águilas, Madrid, Spain
| | - Ángel Gómez
- Atención Primaria, Centro de Salud Lasarte, Lasarte-Oria, Guipúzcoa, Spain
| | - José Félix Rubio
- Atención Primaria, Centro de Salud Lasarte, Lasarte-Oria, Guipúzcoa, Spain
| | - M Carmen Durán
- Atención Primaria, Centro de Salud Lavadores, Vigo, Pontevedra, Spain
| | - Julio Sagredo
- Atención Primaria, Centro de Salud Los Rosales, Madrid, Spain
| | - M Teresa Gijón
- Atención Primaria, Centro de Salud Los Yébenes, Madrid, Spain
| | | | - Pedro P Pérez
- Atención Primaria, Centro de Salud Mallen, Sevilla, Spain
| | - Javier Gamarra
- Atención Primaria, Centro de Salud Medina del Campo Rural, Medina del Campo, Valladolid, Spain
| | | | | | - J Joaquín Antón
- Atención Primaria, Centro de Salud Murcia Centro, Murcia, Spain
| | - Manuel de la Flor
- Atención Primaria, Centro de Salud Nuestra Señora de Gracia, Carmona, Sevilla, Spain
| | - Rosario Martínez
- Atención Primaria, Centro de Salud Oñati, Oñati, Guipúzcoa, Spain
| | - José Luis Pardo
- Atención Primaria, Centro de Salud Orihuela I, Orihuela, Alicante, Spain
| | - Antonio Ruiz
- Atención Primaria, Centro de Salud Pinto, Pinto, Madrid, Spain
| | - Raquel Plana
- Atención Primaria, Centro de Salud Ponteareas, Ponteareas, Pontevedra, Spain
| | - Ramón Macía
- Atención Primaria, Centro de Salud Roces Montevil, Gijón, Asturias, Spain
| | - Mercè Villaró
- Atención Primaria, Centro de Atención Primaria Terrassa Sud, Terrassa, Barcelona, Spain
| | - Carmen Babace
- Atención Primaria, Centro de Salud Rodríguez Paterna, Logroño, La Rioja, Spain
| | - José Luis Torres
- Atención Primaria, Centro de Salud Rodríguez Paterna, Logroño, La Rioja, Spain
| | | | - Ángeles Jurado
- Atención Primaria, Centro de Salud Salvador Caballero, Granada, Spain
| | - José Luis Martín
- Atención Primaria, Centro de Salud Salvador Caballero, Granada, Spain
| | - Jorge Navarro
- Atención Primaria, Centro de Salud Salvador Pau, Valencia, Spain
| | - Gloria Sanz
- Atención Primaria, Centro de Salud San José Centro, Zaragoza, Spain
| | - Rafael Colas
- Atención Primaria, Centro de Salud Santoña, Santoña, Cantabria, Spain
| | - Blanca Cordero
- Atención Primaria, Centro de Salud Santa María de Benquerencia, Toledo, Spain
| | - Cristina de Castro
- Atención Primaria, Centro de Salud Santa María de Benquerencia, Toledo, Spain
| | | | - Alicia Monzón
- Atención Primaria, Centro de Salud Vecindario, Vecindario, Las Palmas, Spain
| | - Nuria Porta
- Atención Primaria, Centro de Atención Primaria Terrassa Sud, Terrassa, Barcelona, Spain
| | | | - Rafael Llanes
- Atención Primaria, Centro de Salud Villanueva de la Cañada, Villanueva de la Cañada, Madrid, Spain
| | - J José Rodríguez
- Atención Primaria, Centro de Salud Villaviciosa de Odón, Villaviciosa de Odón, Madrid, Spain
| | - Esteban Granero
- Atención Primaria, Centro de Salud Vista Alegre Murcia, Murcia, Spain
| | - Manuel Sánchez
- Atención Primaria, Centro de Salud Vista Alegre Murcia, Murcia, Spain
| | - Juan Martínez
- Atención Primaria, Centro de Salud Yecla, Yecla, Murcia, Spain
| | - Patxi Ezkurra
- Atención Primaria, Centro de Salud Zumaia, Zumaia, Guipúzcoa, Spain
| | - Luis Ávila
- Atención Primaria, Consultorio Almáchar, Almáchar, Málaga, Spain
| | | | - Antonio Rodríguez
- Equipo de Atención Primaria, Centro de Salud Anglès, Anglès, Girona, Spain
| | - Pilar Buil
- Equipo de Atención Primaria, Centro de Salud Azpilagaña, Pamplona, Navarra, Spain
| | - Paula Gabriel
- Equipo de Atención Primaria, Centro de Salud Badia del Vallès, Badia del Vallès, Barcelona, Spain
| | - Pilar Roura
- Equipo de Atención Primaria, Centro de Salud Badia del Vallès, Badia del Vallès, Barcelona, Spain
| | - Eduard Tarragó
- Equipo de Atención Primaria, Centro de Salud Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Xavier Mundet
- Equipo de Atención Primaria, Centro de Salud El Carmel, Barcelona, Spain
| | - Remei Bosch
- Equipo de Atención Primaria, Centro de Salud Girona 2, Girona, Spain
| | - J Carles González
- Equipo de Atención Primaria, Centro de Salud Girona 3, Girona, Spain
| | - M Isabel Bobé
- Equipo de Atención Primaria, Centro de Salud La Mina, Barcelona, Spain
| | - Manel Mata
- Equipo de Atención Primaria, Centro de Salud La Mina, Barcelona, Spain
| | - Irene Ruiz
- Equipo de Atención Primaria, Centro de Salud La Torrassa, Barcelona, Spain
| | - Flora López
- Equipo de Atención Primaria, Centro de Salud Martorell, Martorell, Barcelona, Spain
| | - Marti Birules
- Equipo de Atención Primaria, Centro de Salud Poblenou, Barcelona, Spain
| | - Oriol Armengol
- Equipo de Atención Primaria, Centro de Salud Poblenou, Barcelona, Spain
| | - Rosa Mar de Miguel
- Equipo de Atención Primaria, Centro de Salud Pubillas Casas, Esplugues de Llobregat, Barcelona, Spain
| | - Laura Romera
- Equipo de Atención Primaria, Centro de Salud Raval Nord, Barcelona, Spain
| | - Belén Benito
- Equipo de Atención Primaria, Centro de Salud Raval Sud, Barcelona, Spain
| | - Neus Piulats
- Equipo de Atención Primaria, Centro de Salud Raval Sud, Barcelona, Spain
| | - Beatriz Bilbeny
- Equipo de Atención Primaria, Centro de Salud Raval Sud, Barcelona, Spain
| | - J José Cabré
- Equipo de Atención Primaria, Centro de Salud Reus-1, Reus, Tarragona, Spain
| | - Xavier Cos
- Equipo de Atención Primaria, Centro de Salud Sant Martí de Provençals, Barcelona, Spain
| | - Ramón Pujol
- Equipo de Atención Primaria, Centro de Salud Tremp, Tremp, Lleida, Spain
| | - Mateu Seguí
- Atención Primaria, Unidad Básica de Salud de Es Castell, Es Castell, Balearic Islands, Spain
| | - Carmen Losada
- Unidad de Gestión Clínica, Centro de Salud Adoratrices, Huelva, Spain
| | - A María de Santiago
- Unidad Docente de Atención Familiar y Comunitaria, Servicio de Salud de Castilla-La Mancha, Guadalajara, Spain
| | - Pedro Muñoz
- Unidad Docente de Medicina Familiar y Comunitaria, Gerencia de Atención Primaria, Santander, Cantabria, Spain
| | - Enrique Regidor
- Departamento de Medicina Preventiva, Salud Pública e Historia de la Ciencia, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
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Alvero-Cruz JR, Fernández Vázquez R, García Vega MDM, García Lavigne JA, Rodríguez Linares MV, Martínez Blanco J. [Sensitivity and specificity of abdominal adiposity with metabolic syndrome in the elderly]. Rev Esp Geriatr Gerontol 2017; 52:128-134. [PMID: 28012616 DOI: 10.1016/j.regg.2016.11.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Revised: 10/26/2016] [Accepted: 11/03/2016] [Indexed: 06/06/2023]
Abstract
OBJECTIVES It is recognised that abdominal adiposity is associated with cardiovascular risk factors, such as intolerance to glucose, hypertension and dyslipidaemia. The objective of the present study was to assess the relationship of trunk fat and visceral fat index, obtained by anthropometric and bioelectrical impedance, with metabolic syndrome (SM) in an elderly population. METHODS The study included 208 subjects (78 men and 130 women) with a mean age of 82.5 years. Abdominal obesity was assessed by anthropometry and bioelectrical impedance. ROC curves were calculated in order to assess the ability of these variables to diagnose metabolic syndrome. RESULTS There are differences between men and women in body mass index, waist to height ratio, waist circumference, and bioelectrical impedance measurements as trunk fat and visceral fat (p<.05). Also, found differences in anthropometric indices and variables and abdominal bioelectrical impedance between subjects with and without SM (p<.05) and only exist differences in blood glucose, triglycerides and HDL cholesterol (p<.05). There are significant correlations between anthropometric variables and abdominal bioelectrical impedance (p<.05). Areas under the curve (AUC) of waist to height index, waist circumference, sagittal abdominal diameter, and trunk fat were greater than 0.8 (all p<.01), and in women did not exceed values of 0.65. The cut-off points obtained for BMI were 26.81 and 23.53kg/m2, 102 and 91cm for waist circumference, 22.1 and 20.7cm for sagittal abdominal diameter, 34% and 43.7% for trunk fat, and 17 and 11.5 for visceral fat ratio in men and women, respectively. CONCLUSIONS There are different levels of predictive ability for metabolic syndrome according to gender. Trunk fat and visceral fat index and anthropometric measures have higher predictive ability for metabolic syndrome in men than in women.
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Affiliation(s)
- José Ramón Alvero-Cruz
- Departamento de Fisiología Humana, Histología, Anatomía Patológica y Educación Física y Deportiva, Facultad de Medicina, Universidad de Málaga Andalucía Tech., Málaga, España; Instituto de Investigaciones Biomédicas de Málaga, Málaga, España.
| | - Rosalía Fernández Vázquez
- Departamento de Fisiología Humana, Histología, Anatomía Patológica y Educación Física y Deportiva, Facultad de Medicina, Universidad de Málaga Andalucía Tech., Málaga, España
| | | | | | | | - Javier Martínez Blanco
- Unidad de Residencias del Distrito Sanitario Costa del Sol, Consejería de Salud de la Junta de Andalucía-Málaga, Málaga, España
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7
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Hybrid EANN-EA System for the Primary Estimation of Cardiometabolic Risk. J Med Syst 2016; 40:138. [DOI: 10.1007/s10916-016-0498-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Accepted: 04/11/2016] [Indexed: 10/21/2022]
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8
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Howard KP, Klein BEK, Lee KE, Klein R. Measures of body shape and adiposity as related to incidence of age-related eye diseases: observations from the Beaver Dam Eye Study. Invest Ophthalmol Vis Sci 2014; 55:2592-8. [PMID: 24667857 DOI: 10.1167/iovs.13-13763] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
PURPOSE To examine the effect of obesity on the incidence of age-related eye disease. METHODS Participants of the Beaver Dam Eye Study were examined every 5 years over a 20-year period (1988-1990 through 2008-2010). Lens and fundus photographs were used to evaluate presence and severity of cataract and macular degeneration. Height and weight were measured at all examinations. Waist and hip circumference were measured at all examinations beginning at the first follow-up (1993-1995). Models of ocular outcomes over 15 years were stratified by sex and smoking status. RESULTS Overall, 2641 participants contributed 5567 person-visits to 15-year incidence analysis. Female nonsmokers had increased risk of late AMD associated with higher body mass index (BMI; hazard ratio [HR] per 2.5 kg/m(2) 1.31, 95% confidence interval [CI] 1.15-1.50, P < 0.001), waist to hip ratio (HR per 0.1 cm/cm 1.95, 95% CI 1.33-2.86, P < 0.001), waist circumference (HR per 5 cm 1.21, 95% CI 1.10-1.34, P < 0.001), and waist to height ratio (HR per 0.1 cm/cm 1.74, 95% CI 1.31-2.31, P < 0.001). Increased BMI was also associated with early AMD in female nonsmokers (HR 1.10, 95% CI 1.02-1.19, P = 0.02). CONCLUSIONS Female nonsmokers had risk of late AMD associated with increasing measures of greater obesity and increased risk of early AMD associated with greater BMI.
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Affiliation(s)
- Kerri P Howard
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States
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Marrodán MD, Álvarez JRM, de Espinosa MGM, Carmenate MM, López-Ejeda N, Cabañas MD, Pacheco JL, Mesa MS, Romero-Collazos JF, Prado C, Villarino A. Predicting percentage body fat through waist-to-height ratio (WtHR) in Spanish schoolchildren. Public Health Nutr 2014; 17:870-6. [PMID: 23537776 PMCID: PMC10282214 DOI: 10.1017/s1368980013000888] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2012] [Revised: 01/31/2013] [Accepted: 02/13/2013] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To analyse the association between waist-to-height ratio (WtHR) and body fat and to develop predictive adiposity equations that will simplify the diagnosis of obesity in the paediatric age group. DESIGN Cross-sectional study conducted in Spain during 2007 and 2008. Anthropometric dimensions were taken according to the International Biology Program. The children were classified as underweight, normal weight, overweight or obese according to national standards of percentage body fat (%BF). WtHR differences among nutritional status categories were evaluated using ANOVA. Correlation analysis and regression analysis were carried out using WtHR as a predictor variable for %BF. A t test was applied to the results obtained by the regression model and by the Siri equation. The degree of agreement between both methods was evaluated by estimating the intra-class correlation coefficient. SETTING Elementary and secondary schools in Madrid (Spain). SUBJECTS Girls (n 1158) and boys (n 1161) from 6 to 14 years old. RESULTS WtHR differed significantly (P < 0.001) depending on nutritional status category. This index was correlated (P < 0.001) with all adiposity indicators. The mean %BF values estimated by the regression model (boys: %BF = 106.50 × WtHR - 28.36; girls: %BF = 89.73 × WtHR - 15.40) did not differ from those obtained by the Siri equation. The intra-class correlation coefficient (0.85 in boys, 0.79 in girls) showed a high degree of concordance between both methods. CONCLUSIONS WtHR proved to be an effective method for predicting relative adiposity in 6-14-year-olds. The developed equations can help to simplify the diagnosis of obesity in schoolchildren.
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Affiliation(s)
- MD Marrodán
- Dpto. de Zoología y Antropología Física, Facultad de Biología, Research Group EPINUT, Complutense University of Madrid, c/ José Antonio Novais 2, 28891 Madrid, Spain
- Spanish Diet and Food Science Association, Madrid, Spain
| | - JR Martínez Álvarez
- Dpto. de Zoología y Antropología Física, Facultad de Biología, Research Group EPINUT, Complutense University of Madrid, c/ José Antonio Novais 2, 28891 Madrid, Spain
- Spanish Diet and Food Science Association, Madrid, Spain
| | - M González-Montero de Espinosa
- Dpto. de Zoología y Antropología Física, Facultad de Biología, Research Group EPINUT, Complutense University of Madrid, c/ José Antonio Novais 2, 28891 Madrid, Spain
| | - MM Carmenate
- Biology Department, Faculty of Sciences Autónoma University of Madrid, Madrid, Spain
| | - N López-Ejeda
- Dpto. de Zoología y Antropología Física, Facultad de Biología, Research Group EPINUT, Complutense University of Madrid, c/ José Antonio Novais 2, 28891 Madrid, Spain
| | - MD Cabañas
- Dpto. de Zoología y Antropología Física, Facultad de Biología, Research Group EPINUT, Complutense University of Madrid, c/ José Antonio Novais 2, 28891 Madrid, Spain
| | - JL Pacheco
- Dpto. de Zoología y Antropología Física, Facultad de Biología, Research Group EPINUT, Complutense University of Madrid, c/ José Antonio Novais 2, 28891 Madrid, Spain
| | - MS Mesa
- Dpto. de Zoología y Antropología Física, Facultad de Biología, Research Group EPINUT, Complutense University of Madrid, c/ José Antonio Novais 2, 28891 Madrid, Spain
| | - JF Romero-Collazos
- Dpto. de Zoología y Antropología Física, Facultad de Biología, Research Group EPINUT, Complutense University of Madrid, c/ José Antonio Novais 2, 28891 Madrid, Spain
- Biology Department, Faculty of Sciences Autónoma University of Madrid, Madrid, Spain
| | - C Prado
- Biology Department, Faculty of Sciences Autónoma University of Madrid, Madrid, Spain
| | - A Villarino
- Dpto. de Zoología y Antropología Física, Facultad de Biología, Research Group EPINUT, Complutense University of Madrid, c/ José Antonio Novais 2, 28891 Madrid, Spain
- Spanish Diet and Food Science Association, Madrid, Spain
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Cabrera de León A, Almeida González D, González Hernández A, Domínguez Coello S, Marrugat J, Juan Alemán Sánchez J, Brito Díaz B, Marcelino Rodríguez I, Pérez MDCR. Relationships between Serum Resistin and Fat Intake, Serum Lipid Concentrations and Adiposity in the General Population. J Atheroscler Thromb 2014; 21:454-62. [DOI: 10.5551/jat.22103] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Affiliation(s)
- Antonio Cabrera de León
- Research Unit, Nuestra Señora de la Candelaria University Hospital
- Department of Preventive Medicine, University of La Laguna
- Cardiovascular Research Network, Carlos III Institute of Health
| | - Delia Almeida González
- Immunology Unit, Nuestra Señora de la Candelaria University Hospital
- Cardiovascular Research Network, Carlos III Institute of Health
| | - Ana González Hernández
- Research Unit, Nuestra Señora de la Candelaria University Hospital
- Cardiovascular Research Network, Carlos III Institute of Health
| | - Santiago Domínguez Coello
- Research Unit, Nuestra Señora de la Candelaria University Hospital
- Cardiovascular Research Network, Carlos III Institute of Health
| | - Jaume Marrugat
- Cardiovascular Research Network, Carlos III Institute of Health
- Grupo de Epidemiología y Genética Cardiovascular; Programa de Investigación en Procesos Inflamatorios y Cardiovasculares, Instituto Municipal de Investigación Médica(IMIM)
| | - José Juan Alemán Sánchez
- Research Unit, Nuestra Señora de la Candelaria University Hospital
- Cardiovascular Research Network, Carlos III Institute of Health
| | - Buenaventura Brito Díaz
- Research Unit, Nuestra Señora de la Candelaria University Hospital
- Cardiovascular Research Network, Carlos III Institute of Health
| | - Itahisa Marcelino Rodríguez
- Research Unit, Nuestra Señora de la Candelaria University Hospital
- Cardiovascular Research Network, Carlos III Institute of Health
| | - María del Cristo Rodríguez Pérez
- Research Unit, Nuestra Señora de la Candelaria University Hospital
- Grupo de Epidemiología y Genética Cardiovascular; Programa de Investigación en Procesos Inflamatorios y Cardiovasculares, Instituto Municipal de Investigación Médica(IMIM)
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11
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Mesa MS, Marrodán MD, Lomaglio DB, López-Ejeda N, Moreno-Romero S, Bejarano JI, Dipierri JE, Pacheco JL. Anthropometric parameters in screening for excess of adiposity in Argentinian and Spanish adolescents: evaluation using receiver operating characteristic (ROC) methodology. Ann Hum Biol 2013; 40:396-405. [PMID: 23802560 DOI: 10.3109/03014460.2013.788210] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Various anthropometric parameters have been proposed for defining overweight in adolescence, but few studies have evaluated their diagnostic accuracy in comparative terms, using samples from different regions. AIM To compare the performance of anthropometric parameters in determining the excess of adiposity in Argentinian and Spanish adolescents. SUBJECTS AND METHODS The sample is composed of 1781 Argentinian and 1350 Spanish subjects, aged 12-17 years. Excess adiposity was defined as percentage BF in the 90th percentile or higher. ROC curves established the validity of parameters to define excess adiposity. RESULTS Descriptive statistics showed differences between the Argentinian and Spanish samples. ROC curves indicate that all the parameters analysed had, in the Spanish and Argentinian samples, a positive and elevated association with excess of adiposity. The waist-to-height ratio had the highest value of the area under ROC curve (AUC), while conicity index and waist-to-hip ratio had the lowest. CONCLUSIONS Differences exist with respect to size and body composition between the Argentinian and Spanish samples. ROC curves reflect a general pattern of variation. Waist-to-hip ratio and conicity index are less desirable in the diagnosis of excess adiposity and the most desirable is waist-to-height ratio.
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Félix-Redondo FJ, Grau M, Baena-Díez JM, Dégano IR, de León AC, Guembe MJ, Alzamora MT, Vega-Alonso T, Robles NR, Ortiz H, Rigo F, Mayoral-Sanchez E, Tormo MJ, Segura-Fragoso A, Fernández-Bergés D. Prevalence of obesity and associated cardiovascular risk: the DARIOS study. BMC Public Health 2013; 13:542. [PMID: 23738609 PMCID: PMC3695785 DOI: 10.1186/1471-2458-13-542] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2012] [Accepted: 05/29/2013] [Indexed: 12/28/2022] Open
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.
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Affiliation(s)
- Francisco Javier Félix-Redondo
- Centro de Salud Villanueva Norte, Servicio Extremeño de Salud, Villanueva de la Serena, Badajoz, Spain
- Unidad de Investigación Grimex. Programa de Investigación en Enfermedades Cardiovasculares PERICLES, Villanueva de la Serena, Badajoz, Spain
| | - María Grau
- Grupo de Epidemiología y Genética Cardiovascular, Programa de Investigación en Procesos Inflamatorios y Cardiovasculares, IMIM (Institut Hospital del Mar d’Investigacions Mèdiques), Barcelona, Spain
| | - José Miguel Baena-Díez
- Grupo de Epidemiología y Genética Cardiovascular, Programa de Investigación en Procesos Inflamatorios y Cardiovasculares, IMIM (Institut Hospital del Mar d’Investigacions Mèdiques), Barcelona, Spain
- Centre d’Atenció Primària La Marina. Unitat de Recerca Barcelona Ciutat, Institut de Recerca en Atenció Primària Jordi Gol, Institut Català de la Salut, Barcelona, Spain
| | - Irene R Dégano
- Grupo de Epidemiología y Genética Cardiovascular, Programa de Investigación en Procesos Inflamatorios y Cardiovasculares, IMIM (Institut Hospital del Mar d’Investigacions Mèdiques), Barcelona, Spain
| | - Antonio Cabrera de León
- Unidad de Investigación de Atención Primaria y del Hospital Universitario Señora de Candelaria. Medicina Preventiva y Salud Pública, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Maria Jesús Guembe
- Grupo de Investigación Riesgo Vascular en Navarra (RIVANA), Servicio de Investigación, Innovación y Formación Sanitaria, Departamento de Salud, Gobierno de Navarra, Pamplona, Spain
| | - María Teresa Alzamora
- Centro de Salud Riu Nord- Riu Sud, Santa Coloma de Gramenet, Barcelona
- USR Metropolitana Nord, IDIAP Jordi Gol, Mataró, Spain
| | - Tomás Vega-Alonso
- Dirección General de Salud Pública e Investigación, Desarrollo e Innovación, Consejería de Sanidad de la Junta de Castilla y León, Valladolid, Spain
| | - Nicolás R Robles
- Unidad de Investigación Grimex. Programa de Investigación en Enfermedades Cardiovasculares PERICLES, Villanueva de la Serena, Badajoz, Spain
- Hospital Universitario Infanta Cristina, Badajoz, Spain
| | - Honorato Ortiz
- Servicio de Epidemiologia, Dirección General de Atención Primaria, Consejería de Sanidad Comunidad de Madrid, Madrid, Spain
| | - Fernando Rigo
- Grupo Cardiovascular de Baleares redIAPP, UB Génova. C. S. Sana Agustín, Palma de Mallorca, Baleares, Spain
| | - Eduardo Mayoral-Sanchez
- Plan Integral de Diabetes de Andalucía, Servicio Andaluz de Salud. CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Maria José Tormo
- Servicio de Epidemiología, Consejería de Sanidad y Política Social de Murcia, Departamento de Ciencias Sociosanitarias, Universidad de Murcia.CIBER de Epidemiologia y Salud Pública (CIBERESP), Murcia, Spain
| | | | - Daniel Fernández-Bergés
- Unidad de Investigación Grimex. Programa de Investigación en Enfermedades Cardiovasculares PERICLES, Villanueva de la Serena, Badajoz, Spain
- Hospital Don Benito-Villanueva, Don Benito, Badajoz, Spain
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Precisión diagnóstica del índice cintura-talla para la identificación del sobrepeso y de la obesidad infantil. Med Clin (Barc) 2013; 140:296-301. [DOI: 10.1016/j.medcli.2012.01.032] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2011] [Revised: 01/03/2012] [Accepted: 01/10/2012] [Indexed: 11/30/2022]
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Guasch-Ferré M, Bulló M, Martínez-González MÁ, Corella D, Estruch R, Covas MI, Arós F, Wärnberg J, Fiol M, Lapetra J, Muñoz MÁ, Serra-Majem L, Pintó X, Babio N, Díaz-López A, Salas-Salvadó J. Waist-to-height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk. PLoS One 2012; 7:e43275. [PMID: 22905246 PMCID: PMC3419167 DOI: 10.1371/journal.pone.0043275] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2012] [Accepted: 07/18/2012] [Indexed: 01/31/2023] Open
Abstract
INTRODUCTION Several anthropometric measurements have been associated with cardiovascular disease, type-2 diabetes mellitus and other cardiovascular risk conditions, such as hypertension or metabolic syndrome. Waist-to-height-ratio has been proposed as a useful tool for assessing abdominal obesity, correcting other measurements for the height of the individual. We compared the ability of several anthropometric measurements to predict the presence of type-2 diabetes, hyperglycemia, hypertension, atherogenic dyslipidemia or metabolic syndrome. MATERIALS AND METHODS In our cross-sectional analyses we included 7447 Spanish individuals at high cardiovascular risk, men aged 55-80 years and women aged 60-80 years, from the PREDIMED study. Logistic regression models were fitted to evaluate the odds ratio of presenting each cardiovascular risk factor according to various anthropometric measures. The areas under the receiver-operating characteristic curve (AUC) were used to compare the predictive ability of these measurements. RESULTS In this relatively homogeneous cohort with 48.6% of type-2 diabetic individuals, the great majority of the studied anthropometric parameters were significantly and positively associated with the cardiovascular risk factors. No association was found between BMI and body weight and diabetes mellitus. The AUCs for the waist-to-height ratio and waist circumference were significantly higher than the AUCs for BMI or weight for type-2 diabetes, hyperglycemia, atherogenic dyslipidemia and metabolic syndrome. Conversely, BMI was the strongest predictor of hypertension. CONCLUSIONS We concluded that measures of abdominal obesity showed higher discriminative ability for diabetes mellitus, high fasting plasma glucose, atherogenic dyslipidemia and metabolic syndrome than BMI or weight in a large cohort of elderly Mediterranean individuals at high cardiovascular risk. No significant differences were found between the predictive abilities of waist-to-height ratio and waist circumference on the metabolic disease.
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Affiliation(s)
- Marta Guasch-Ferré
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, IISPV (Institut d’Investigació Sanitària Pere Virgili), Universitat Rovira i Virgili, Reus, Spain
- CIBERobn (Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición), Institute of Health Carlos III, Madrid, Spain
| | - Mònica Bulló
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, IISPV (Institut d’Investigació Sanitària Pere Virgili), Universitat Rovira i Virgili, Reus, Spain
- CIBERobn (Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición), Institute of Health Carlos III, Madrid, Spain
| | | | - Dolores Corella
- Department of Preventive Medicine, University of Valencia, València, Spain
| | - Ramon Estruch
- CIBERobn (Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - María-Isabel Covas
- Cardiovascular Risk and Nutrition Research Group, Institut Municipal d’ Investigació Mèdica, Barcelona Biomedical Research Park, Barcelona, Spain
| | - Fernando Arós
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Department of Cardiology, University Hospital Txagorritxu, Vitoria, Spain
| | - Julia Wärnberg
- Department of Preventive Medicine, University of Malaga, Malaga, Spain
| | - Miquel Fiol
- Institute of Health Sciences, University of Balearic Islands and Hospital Son Espases, Palma de Mallorca, Spain
| | - José Lapetra
- Department of Family Medicine, Primary Care Division of Sevilla, San Pablo Health Center, Sevilla, Spain
| | | | - Lluís Serra-Majem
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Department of Clinical Sciences, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Xavier Pintó
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Nancy Babio
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, IISPV (Institut d’Investigació Sanitària Pere Virgili), Universitat Rovira i Virgili, Reus, Spain
- CIBERobn (Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición), Institute of Health Carlos III, Madrid, Spain
| | - Andrés Díaz-López
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, IISPV (Institut d’Investigació Sanitària Pere Virgili), Universitat Rovira i Virgili, Reus, Spain
- CIBERobn (Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición), Institute of Health Carlos III, Madrid, Spain
| | - Jordi Salas-Salvadó
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, IISPV (Institut d’Investigació Sanitària Pere Virgili), Universitat Rovira i Virgili, Reus, Spain
- CIBERobn (Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición), Institute of Health Carlos III, Madrid, Spain
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Rodríguez Pérez MC, Cabrera de León A, Morales Torres RM, Domínguez Coello S, Alemán Sánchez JJ, Brito Díaz B, González Hernández A, Almeida González D. Factores asociados al conocimiento y el control de la hipertensión arterial en Canarias. Rev Esp Cardiol 2012; 65:234-40. [DOI: 10.1016/j.recesp.2011.09.021] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2011] [Accepted: 09/29/2011] [Indexed: 10/14/2022]
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Baena-Díez JM, Bermúdez-Chillida N, Mundet X, Val-García JLD, Muñoz MA, Schröder H. Glucemia basal alterada y riesgo de diabetes mellitus a los 10 años. Estudio de cohorte. Med Clin (Barc) 2011; 136:382-5. [DOI: 10.1016/j.medcli.2010.05.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2010] [Revised: 05/20/2010] [Accepted: 05/20/2010] [Indexed: 10/18/2022]
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López De La Torre M, Bellido Guerrero D, Vidal Cortada J, Soto González A, García Malpartida K, Hernandez-Mijares A. Distribución de la circunferencia de la cintura y de la relación circunferencia de la cintura con respecto a la talla según la categoría del índice de masa corporal en los pacientes atendidos en consultas de endocrinología y nutrición. ACTA ACUST UNITED AC 2010; 57:479-85. [DOI: 10.1016/j.endonu.2010.06.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2009] [Revised: 06/11/2010] [Accepted: 06/17/2010] [Indexed: 11/30/2022]
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