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Abstract The new technologies for data analysis, such as decision tree learning, may help to predict the risk of developing diseases. The aim of the present work was to develop a pilot decision tree learning to predict overweight/obesity based on the combination of six single nucleotide polymorphisms (SNP) located in feeding-associated genes. Genotype study was performed in 151 healthy individuals, who were anonymized and randomly selected from the TALAVERA study. The decision tree analysis was performed using the R package rpart. The learning process was stopped when 15 or less observation was found in a node. The participant group consisted of 78 men and 73 women, who 100 individuals showed body mass index (BMI) ≥ 25 kg/m2 and 51 BMI < 25 kg/m2. Chi-square analysis revealed that individuals with BMI ≥ 25 kg/m2 showed higher frequency of the allelic variation Ala67Ala in AgRP rs5030980 with respect to those with BMI <25 kg/m2. However, the variant Thr67Ala in AgRP rs5030980 was the most frequently found in individuals with BMI <25 kg/m2. There were no statistical differences in the other analyzed SNPs. Decision tree learning revealed that carriers of the allelic variants AgRP (rs5030980) Ala67Ala, ADRB2 (rs1042714) Gln27Glu or Glu27Glu, INSIG2 (rs7566605) 73 + 9802 with CC or GG genotypes and PPARG (rs1801282) with the allelic variants of Ala12Ala or Pro12Pro, will most likely develop overweight/obesity (BMI ≥ 25 kg/m2). Moreover, the decision tree learning indicated that age and gender may change the developed three decision learning associated with overweight/obesity development. The present work should be considered as a pilot demonstrative study to reinforce the broad field of application of new data analysis technologies, such as decision tree learning, as useful tools for diseases prediction. This technology may achieve a potential applicability in the design of early strategies to prevent overweight/obesity. Highlights • Decision tree learning may help to predict the risk of developing overweight/obesity. • Different single nucleotide polymorphisms were found with higher frequency in patients with overweight/obesity. • Decision tree learning identified a haplotype associated with overweight/obesity. • Our study supports the broad field of application of new data analysis technologies. • Potential applicability to early preventive recommendations related to lifestyle. [ABSTRACT FROM AUTHOR]

Copyright of Revista Española de Cardiología (18855857) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Española de Cardiología (18855857) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Española de Cardiología (18855857) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Española de Cardiología (18855857) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Española de Cardiología (18855857) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Española de Cardiología (18855857) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Española de Cardiología (18855857) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aims: To compare diabetes-related mortality rates and factors associated with this disease in the Canary Islands compared with other 10 Spanish regions.Methods: In a cross-sectional study of 28,887 participants aged 35-74 years in Spain, data were obtained for diabetes, hypertension, dyslipidemia, obesity, insulin resistance (IR), and metabolic syndrome. Healthcare was measured as awareness, treatment and control of diabetes, dyslipidemia, and hypertension. Standardized mortality rate ratios (SRR) were calculated for the years 1981 to 2011 in the same regions.Results: Diabetes, obesity, and hypertension were more prevalent in people under the age of 64 in the Canary Islands than in Spain. For all ages, metabolic syndrome and insulin resistance (IR) were also more prevalent in those from the Canary Islands. Healthcare parameters were similar in those from the Canary Islands and the rest of Spain. Diabetes-related mortality in the Canary Islands was the highest in Spain since 1981; the maximum SRR was reached in 2011 in men (6.3 versus the region of Madrid; p<0.001) and women (9.5 versus Madrid; p<0.001). Excess mortality was prevalent from the age of 45 years and above.Conclusions: Diabetes-related mortality is higher in the Canary Islands population than in any other Spanish region. The high mortality and prevalence of IR warrants investigation of the genetic background associated with a higher incidence and poor prognosis for diabetes in this population. The rise in SRR calls for a rapid public health policy response. [ABSTRACT FROM AUTHOR]

The type of acute coronary syndrome may account for different prognoses between men and women after myocardial infarction. This study assessed gender differences in 28-day mortality rates for first or recurrent Q-wave and non–Q-wave myocardial infarctions and unstable angina by using data from 5 registries that included 20,836 patients (24.8% women). Mortality rates were higher in women with first Q-wave myocardial infarction but not in the other patients after adjusting for confounding variables. [Copyright &y& Elsevier]