Depósito Académico

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Las colecciones que forman el Depósito Académico se asemejan a la estructura organizativa de la Universidad de Navarra a fecha de 2010: Facultades, Departamentos, Escuelas, etc.

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2007 - 200912010 - 20131

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Author search.filters.author.Martinez, J.A. (José Alfredo)search.filters.applied.f.itemdepartment search.filters.itemdepartment.Medicina Preventiva y Salud Pública

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    Lifestyle factors modify obesity risk linked to PPARG2 and FTO variants in an elderly population: a cross-sectional analysis in the SUN Project.
    (Springer, 2013) Martinez, J.A. (José Alfredo); Toledo, J. (Jon); Martinez-Gonzalez, M.A. (Miguel Ángel); Galbete, C. (Cecilia); Guillen-Grima, F. (Francisco); Marti-del-Moral, A. (Amelia)
    Genetic factors may interact with lifestyle factors to modify obesity risk. FTO and PPARG2 are relevant obesogenes. Our aim was to explore the effect of Pro12Ala (rs1801282) of PPARG2 and rs9939609 of FTO on obesity risk and to examine their interaction with lifestyle factors in an elderly population. Subjects (n = 978; aged 69 ± 6) were recruited from the SUN (Seguimiento Universidad de Navarra) Project. DNA was obtained from saliva, and lifestyle and dietary data were collected by validated self-reported questionnaires. Genotyping was assessed by RT-PCR plus allele discrimination. Subjects carrying the Ala allele of PPARG2 gene had a significantly increased obesity risk compared to non-carrier (Pro12Pro) subjects (OR, 1.66; 95 % CI, 1.01-2.74; p = 0.045). Greater obesity risk was also found in inactive or high carbohydrate intake subjects with the Ala12 allele of PPARG2 gene. Interestingly, subjects carrying the Ala allele of the PPARG2 gene and with a high CHO (>246 g/day) intake had an increased obesity risk compared to Pro12Pro subjects (OR, 2.67; 95 % CI, 1.3-5.46; p = 0.007; p for [CHO × PPARG2] interaction = 0.046). Moreover, in subjects with a high CHO intake, the co-presence of the Ala allele of PPARG2 gene and one minor A allele (rs9939609) of FTO gene did increase obesity risk (OR, 3.26; 95 % CI, 1.19-8.89; p = 0.021) when compared to non-carrier (Pro12Pro/TT) subjects. In conclusion, it appears that lifestyle factors may act as effect modifiers for obesity risk linked to Ala12 allele of the PPARG2 gene and the minor A allele of FTO gene in an elderly population.
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    Validación del índice de masa corporal auto-referido en la Encuesta Nacional de Salud
    (Gobierno de Navarra. Departamento de Salud, 2007) Martinez, J.A. (José Alfredo); Martinez-Gonzalez, M.A. (Miguel Ángel); Bes-Rastrollo, M. (Maira); Basterra-Gortari, F.J. (Francisco Javier); Forga, L. (Luis)
    Objective. To assess the validity of self-reported body mass index in the National Health Survey. 120 participants were selected and questioned about their weight and height with exactly the same questions that the National Health Survey uses. Afterwards, and once informed consent was obtained, participants were weighed and measured, and this data was used as the gold standard. On average, participants underestimated their weight by 1.39 kg, overestimated their height by 0.55 cm and underestimated their body mass index by 0.71 kg/m2. The sensitivity of self-reported self reported body mass index (BMI) to detect overweight was 77%, the specificity was 97%, the positive predictive value was 0.95 and the negative predictive value was 0.86. The Kappa index was 0.76 and the quadratically weighted Kappa index was 0.85. The correlation coefficient between self-reported and measured BMI was 0.96 and the intraclass correlation coefficient was 0.97. Self-reported data is an efficient way of obtaining information about BMI, although with limitations, because self-reported data tends to underestimate weight and overestimate height, thus underestimating BMI and the proportion of participants with elevated BMI.