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Sangrós, F Javier; Torrecilla, Jesús; Giráldez-García, Carolina; Carrillo, Lourdes; Mancera, José; Mur, Teresa; Franch, Josep; Díez, Javier; Goday, Albert; Serrano, Rosario; García-Soidán, F Javier; Cuatrecasas, Gabriel; Igual, Dimas; Moreno, Ana; Millaruelo, J Manuel; Carramiñana, Francisco; Ruiz, Manuel Antonio; Carlos Pérez, Francisco; Iriarte, Yon; Lorenzo, Ángela; González, María; lvarez, Beatriz; Barutell, Lourdes; Mayayo, M Soledad; Castillo, Mercedes del; Navarro, Emma; Malo, Fernando; Cambra, Ainhoa; López, Riánsares; Gutiérrez, M Ángel; Gutiérrez, Luisa; Boente, Carmen; Mediavilla, J Javier; Prieto, Luis; Mendo, Luis; Mansilla, M José; Ortega, Francisco Javier; Borras, Antonia; Sánchez, L Gabriel; Obaya, J Carlos; Alonso, Margarita; García, Francisco; Trinidad Gutiérrez, Ángela; Hernández, Ana M; Suárez, Dulce; Álvarez, J Carlos; Sáenz, Isabel; Martínez, F Javier; Casorrán, Ana; Ripoll, Jazmín; Salanova, Alejandro; Marín, M Teresa; Gutiérrez, Félix; Innerárity, Jaime; Álvarez, M del Mar; Artola, Sara; Bedoya, M Jesús; Poveda, Santiago; Álvarez, Fernando; Brito, M Jesús; Iglesias, Rosario; Paniagua, Francisca; Nogales, Pedro; Gómez, Ángel; Rubio, José Félix; Durán, M Carmen; Sagredo, Julio; Gijón, M Teresa; Rollán, M Ángeles; Pérez, Pedro P; Gamarra, Javier; Carbonell, Francisco; García-Giralda, Luis; Antón, J Joaquín; Flor, Manuel de la; Martínez, Rosario; Pardo, José Luis; Ruiz, Antonio; Plana, Raquel; Macía, Ramón; Villaró, Mercè; Babace, Carmen; Torres, José Luis; Blanco, Concepción; Jurado, Ángeles; Martín, José Luis; Navarro, Jorge; Sanz, Gloria; Colas, Rafael; Cordero, Blanca; Castro, Cristina de; Ibáñez, Mercedes; Monzón, Alicia; Porta, Nuria; Gómez, María del Carmen; Llanes, Rafael; Rodríguez, J José; Granero, Esteban; Sánchez, Manuel; Martínez, Juan; Ezkurra, Patxi; Ávila, Luis; Sen, Carlos de la; Rodríguez, Antonio; Buil, Pilar; Gabriel, Paula; Roura, Pilar; Tarragó, Eduard; Mundet, Xavier; Bosch, Remei; González, J Carles; Bobé, M Isabel; Mata, Manel; Ruiz, Irene; López, Flora; Birules, Marti; Armengol, Oriol; Miguel, Rosa Mar de; Romera, Laura; Benito, Belén; Piulats, Neus; Bilbeny, Beatriz; Cabré, J José; Cos, Xavier; Pujol, Ramón; Seguí, Mateu; Losada, Carmen; Santiago, A María de; Muñoz, Pedro; Regidord, Enrique.
Rev. esp. cardiol. (Ed. impr.) ; 71(3): 170-177, mar. 2018. tab
Article in Spanish | IBECS | ID: ibc-172199

ABSTRACT

Introducción y objetivos: Algunas medidas antropométricas muestran mayor capacidad que otras para discriminar la presencia de factores de riesgo cardiovascular. Este trabajo estima la magnitud de la asociación de diversos indicadores antropométricos de obesidad con hipertensión, dislipemia y prediabetes (glucemia basal o glucohemoglobina alteradas). Métodos: Análisis transversal de la información recogida en 2.022 sujetos del estudio PREDAPS (etapa basal). Se definió obesidad general como índice de masa corporal ≥ 30 kg/m2 y obesidad abdominal con 2 criterios: a) perímetro de cintura (PC) ≥ 102 cm en varones/PC ≥ 88 cm en mujeres, y b) índice cintura/estatura (ICE) ≥ 0,55. La magnitud de la asociación se estimó mediante regresión logística. Resultados: La hipertensión arterial mostró la asociación más alta con la obesidad general en mujeres (OR = 3,01; IC95%, 2,24-4,04) y con la obesidad abdominal según el criterio del ICE en varones (OR = 3,65; IC95%, 2,66-5,01). La hipertrigliceridemia y los valores bajos de colesterol unido a lipoproteínas de alta densidad mostraron la asociación más alta con obesidad abdominal según el criterio del ICE en mujeres (OR = 2,49; IC95%, 1,68-3,67 y OR = 2,70; IC95%, 1,89-3,86) y la obesidad general en varones (OR = 2,06; IC95%, 1,56-2,73 y OR = 1,68; IC95%, 1,21-2,33). La prediabetes mostró la asociación más alta con obesidad abdominal según el criterio del ICE en mujeres (OR = 2,48; IC95%, 1,85-3,33) y con obesidad abdominal según el criterio del PC en varones (OR = 2,33; IC95%, 1,75-3,08). Conclusiones: Los indicadores de obesidad abdominal mostraron la mayor asociación con la presencia de prediabetes. La relación de los indicadores antropométricos con hipertensión y con dislipemia mostró resultados heterogéneos (AU)


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 ≥ 30 kg/m2 and abdominal obesity was defined with 2 criteria: a) waist circumference (WC) ≥ 102 cm in men/WC ≥ 88 cm 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 (AU)


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Hypertension/epidemiology , Hypertension/prevention & control , Obesity/complications , Hyperlipidemias/complications , Prediabetic State/diagnosis , Obesity, Abdominal/complications , Hyperlipidemias/prevention & control , Prediabetic State/prevention & control , Anthropometry/methods , Waist-Height Ratio , Logistic Models , Blood Glucose/metabolism
2.
Medicine (Baltimore) ; 94(44): e1935, 2015 Nov.
Article in English | MEDLINE | ID: mdl-26554799

ABSTRACT

It has been suggested that the early detection of individuals with prediabetes can help prevent cardiovascular diseases. The purpose of the current study was to examine the cardiometabolic risk profile in patients with prediabetes according to fasting plasma glucose (FPG) and/or hemoglobin A1c (HbA1c) criteria.Cross-sectional analysis from the 2022 patients in the Cohort study in Primary Health Care on the Evolution of Patients with Prediabetes (PREDAPS Study) was developed. Four glycemic status groups were defined based on American Diabetes Association criteria. Information about cardiovascular risk factors-body mass index, waist circumference, blood pressure, cholesterol, triglycerides, uric acid, gamma-glutamyltransferase, glomerular filtration-and metabolic syndrome components were analyzed. Mean values of clinical and biochemical characteristics and frequencies of metabolic syndrome were estimated adjusting by age, sex, educational level, and family history of diabetes.A linear trend (P < 0.001) was observed in most of the cardiovascular risk factors and in all components of metabolic syndrome. Normoglycemic individuals had the best values, individuals with both criteria of prediabetes had the worst, and individuals with only one-HbA1c or FPG-criterion had an intermediate position. Metabolic syndrome was present in 15.0% (95% confidence interval: 12.6-17.4), 59.5% (54.0-64.9), 62.0% (56.0-68.0), and 76.2% (72.8-79.6) of individuals classified in normoglycemia, isolated HbA1c, isolated FPG, and both criteria groups, respectively.In conclusion, individuals with prediabetes, especially those with both criteria, have worse cardiometabolic risk profile than normoglycemic individuals. These results suggest the need to use both criteria in the clinical practice to identify those individuals with the highest cardiovascular risk, in order to offer them special attention with intensive lifestyle intervention programs.


Subject(s)
Blood Glucose/metabolism , Cardiovascular Diseases/diagnosis , Fasting/blood , Glycated Hemoglobin/metabolism , Prediabetic State/complications , Adult , Aged , Body Mass Index , Cardiovascular Diseases/blood , Cardiovascular Diseases/etiology , Cross-Sectional Studies , Diagnosis, Differential , Female , Follow-Up Studies , Humans , Male , Middle Aged , Prediabetic State/blood , Risk Factors
3.
BMC Fam Pract ; 16: 5, 2015 Jan 22.
Article in English | MEDLINE | ID: mdl-25609029

ABSTRACT

BACKGROUND: Prediabetes is a high-risk state for diabetes development, but little is known about the factors associated with this state. The aim of the study was to identify modifiable risk factors associated with the presence of prediabetes in men and women. METHODS: Cohort Study in Primary Health Care on the Evolution of Patients with Prediabetes (PREDAPS-Study) is a prospective study on a cohort of 1184 subjects with prediabetes and another cohort of 838 subjects without glucose metabolism disorders. It is being conducted by 125 general practitioners in Spain. Data for this analysis were collected during the baseline stage in 2012. The modifiable risk factors included were: smoking habit, alcohol consumption, low physical activity, inadequate diet, hypertension, dyslipidemia, and obesity. To assess independent association between each factor and prediabetes, odds ratios (ORs) were estimated using logistic regression models. RESULTS: Abdominal obesity, low plasma levels of high-density lipoprotein cholesterol (HDL-cholesterol), and hypertension were independently associated with the presence of prediabetes in both men and women. After adjusting for all factors, the respective ORs (95% Confidence Intervals) were 1.98 (1.41-2.79), 1.88 (1.23-2.88) and 1.86 (1.39-2.51) for men, and 1.89 (1.36-2.62), 1.58 (1.12-2.23) and 1.44 (1.07-1.92) for women. Also, general obesity was a risk factor in both sexes but did not reach statistical significance among men, after adjusting for all factors. Risky alcohol consumption was a risk factor for prediabetes in men, OR 1.49 (1.00-2.24). CONCLUSIONS: Obesity, low HDL-cholesterol levels, and hypertension were modifiable risk factors independently related to the presence of prediabetes in both sexes. The magnitudes of the associations were stronger for men than women. Abdominal obesity in both men and women displayed the strongest association with prediabetes. The findings suggest that there are some differences between men and women, which should be taken into account when implementing specific recommendations to prevent or delay the onset of diabetes in adult population.


Subject(s)
Prediabetic State/epidemiology , Adult , Aged , Cholesterol, HDL/blood , Cohort Studies , Cross-Sectional Studies , Diet , Female , Health Promotion , Humans , Hypertension/epidemiology , Life Style , Logistic Models , Male , Middle Aged , Obesity, Abdominal/epidemiology , Prediabetic State/therapy , Primary Health Care , Smoking/epidemiology
4.
Rev Esp Salud Publica ; 87(2): 121-35, 2013.
Article in English, Spanish | MEDLINE | ID: mdl-23775102

ABSTRACT

The PREDAPS study aims to determine the risk of developing diabetes and the risk of vascular complications in patients with prediabetes and identify factors associated with those risks. It is a prospective observational study of a cohort of 1184 subjects with prediabetes and another cohort of 838 subjects with no alterations in glucose metabolism. The data at baseline were obtained from patients attending primary care centers in Spain throughout 2012. Subjects with prediabetes were classified into three groups: those who had only altered the fasting blood glucose levels -between 100 and 125mg/dl-, those who had only altered the HbA1c level -between 5.7 and 6.4% - and those who had altered both parameters. Information on sociodemographic characteristics, personal and family history, lifestyle and drug therapy was obtained from medical records and the interview with the doctor in the consultation. It was also performed a physical examination to determine weight, height, waist circumference and blood pressure were performed and blood and urine analysis. The PREDAPS study may help to reduce uncertainty in individual prevention strategies in subjects with prediabetes. Annual monitoring of patients recruited for five years will enable to know the risk of developing diabetes type 2 and the risk of macro-and microvascular complications in the three groups of subjects with prediabetes and determine the factors associated with those risks.


Subject(s)
Diabetes Mellitus, Type 2/etiology , Prediabetic State/diagnosis , Adult , Cohort Studies , Diabetes Mellitus, Type 2/prevention & control , Female , Glycated Hemoglobin/metabolism , Humans , Life Style , Male , Middle Aged , Prediabetic State/blood , Prediabetic State/classification , Primary Health Care , Prospective Studies , Risk Assessment/methods , Spain , Waist Circumference
5.
Diabetes Care ; 35(12): 2503-9, 2012 Dec.
Article in English | MEDLINE | ID: mdl-22875228

ABSTRACT

OBJECTIVE: Individuals with diabetes have an excess mortality compared with people without diabetes. This study used a national cohort of older Spanish adults to identify possible factors explaining the relation between diabetes and excess mortality. RESEARCH DESIGN AND METHODS: A cohort of 4,008 people ≥60 years of age was selected in 2000-2001 and followed prospectively until 2008. At baseline, data were collected on diabetes and major risk factors for mortality: social network, diet, physical activity and other lifestyle factors, obesity, hypertension, dyslipidemia, and previous cardiovascular disease and cancer. Analyses were conducted with Cox regression with progressive adjustment for mortality risk factors. RESULTS: In the study cohort, 667 people had diabetes. A total of 972 deaths occurred during follow-up. The hazard ratio (HR) and 95% CI for mortality in diabetic versus nondiabetic subjects, adjusted for age, marital status, education level, social class, medical consultation, and treatment with statins, angiotensin II antagonists, or aspirin, was 1.40 (1.11-1.76) in men and 1.70 (1.37-2.10) in women. Adjustment for additional risk factors produced little change in the HR. After adjustment for all risk factors, including cardiovascular disease and cancer, the mortality HR in diabetic versus nondiabetic individuals was 1.43 (1.12-1.82) in men and 1.67 (1.34-2.08) in women. The inclusion of lifestyles and diseases occurring during follow-up also produced little change in the relation between diabetes and mortality. CONCLUSIONS: The excess risk of mortality in diabetic versus nondiabetic individuals cannot be explained by mortality risk factors or by the presence of cardiovascular disease or cancer.


Subject(s)
Diabetes Mellitus/epidemiology , Diabetes Mellitus/mortality , Adult , Aged , Aged, 80 and over , Cardiovascular Diseases/complications , Cardiovascular Diseases/mortality , Diabetes Mellitus/drug therapy , Female , Hispanic or Latino , Humans , Male , Marital Status , Middle Aged , Neoplasms/complications , Neoplasms/mortality , Proportional Hazards Models , Risk Factors , Socioeconomic Factors
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