Modifiable risk factors associated with prediabetes in men and women: A cross-sectional analysis of the cohort study in primary health care on the evolution of patients with prediabetes

Díaz-Redondo, A. ; Giráldez-García, C. ; Carrillo, L. ; Serrano, R. ; García-Soidán, F.J. ; Artola, S. ; Franch, J. ; Díez, J. ; Ezkurra, P. ; Millaruelo, J.M. (Universidad de Zaragoza) ; Seguí, M. ; Sangrós, J. ; Martínez-Candela, J. ; Muñoz, P. ; Goday, A. ; Regidor, E. ; Alonso, M. ; Álvarez, B. ; Álvarez, F. ; Álvarez, J.C. ; Antón, J.J. ; Armengol, O. ; Ávila, L. ; Babace, C. ; Barutell, L. ; Bedoya, M.J. ; Benito, B. ; Bilbeny, B. ; Birules, M. ; Blanco, C. ; Bobé, M.I. ; Boente, C. ; Borras, A. ; Bosch, R. ; Brito, M.J. ; Buil, P. ; Cabré, J.J. ; Carbonell, F. ; Carramiñana, F. ; Casorrán, A. ; Colas, R. ; Cordero, B. ; Cos, X. ; Cuatrecasas, G. ; De Castro, C. ; Flor, De La ; Sen, De La ; De Miguel, R.M. ; De Santiago, A.M. ; Del Castillo, M. ; Domínguez, D. ; Durán, C. ; Ferreiro, M. ; Gamarra, J. ; García, F. ; García-Giralda, L. ; Gijón, M.T. ; Gómez, Á. ; Gómez, M.C. ; González, J.C. ; González, M. ; Granero, E. ; Gutiérrez, A.T. ; Gutiérrez, F. ; Gutiérrez, L. ; Gutiérrez, M.A. ; Hernández, A.M. ; Ibáñez, M. ; Iglesias, R. ; Igual, D. ; Jurado, A. ; Llanes, R. ; López, F. ; López, R. ; Lorenzo, A. ; Losada, C. ; Macía, R. ; Magallón, R. ; Malo, F. ; Mancera, J. ; Mansilla, M.J. ; Marín, M.T. ; Martínez, F.J. ; Martín, J.L. ; Martínez, M.C. ; Martínez, R. ; Massana, A. ; Mata, M. ; Mayayo, M.S. ; Mediavilla, J.J. ; Mendo, L. ; Monzón, A. ; Moreno, A. ; Mundet, X. ; Mur, T. ; Navarro, E. ; Navarro, J. ; Nogales, P. ; Obaya, J.C. ; Oria, C. ; Ortega, F.J. ; Paniagua, F. ; Pardo, J.L. ; Pérez, F.C. ; Pérez, P.P. ; Piulats, N. ; Plana, R. ; Porta, N. ; Poveda, S. ; Prieto,
Modifiable risk factors associated with prediabetes in men and women: A cross-sectional analysis of the cohort study in primary health care on the evolution of patients with prediabetes
Resumen: 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.

Idioma: Inglés
DOI: 10.1186/s12875-014-0216-3
Año: 2015
Publicado en: BMC Family Practice 16, 5 (2015), [9 p.]
ISSN: 1471-2296

Factor impacto JCR: 1.641 (2015)
Categ. JCR: PRIMARY HEALTH CARE rank: 7 / 20 = 0.35 (2015) - Q2 - T2
Categ. JCR: MEDICINE, GENERAL & INTERNAL rank: 57 / 155 = 0.368 (2015) - Q2 - T2

Factor impacto SCIMAGO: 1.081 - Family Practice (Q1)

Tipo y forma: Article (Published version)
Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


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