Social networks on smoking, alcohol use and obesity among adolescents attending a school in the city of Lobos, Buenos Aires [Redes sociales de tabaquismo, consumo de alcohol y obesidad en adolescentes escolarizados de la ciudad de Lobos]
Mulassi A.H.,Consejo de Epidemiologia y Prevencion Cardiovascular |
Borracci R.A.,Austral University |
Calderon J.G.E.,Consejo de Epidemiologia y Prevencion Cardiovascular |
Vinay P.,Consejo de Epidemiologia y Prevencion Cardiovascular |
Mulassi M.,Consejo de Epidemiologia y Prevencion Cardiovascular
Archivos Argentinos de Pediatria | Year: 2012
Introduction. The objective was to study different social networks of adolescents regarding the use of tobacco, alcohol use or obesity, in order to know to what extent friends and schoolmates influenced them in keeping or quitting these habits. Materials and Methods. Two hundred and ninety six adolescents aged 14-18 years attending an urban school in the province of Buenos Aires were surveyed and clinically studied. Information was obtained on anthropometric parameters, tobacco and alcohol use and friendship relations were assessed so as to construct different social networks. Results: 18.8% of female adolescents and 16.5% of male adolescents were smokers; 23.3 and 39.4% drank alcohol and 15.3 and 19.0% were overweight. The networks showed that both smokers and alcohol users have close connections and a high level of centrality. The analysis showed that there is a strong affinity among people sharing the same habits. Conclusions. The study of adolescent social networks allowed to show the relation of affinity among people having the habit of smoking, alcohol use or presenting obesity. Both smokers and alcohol users are closely connected in the network, while obese adolescents seem to stay marginal. Knowledge on social networks and the possibility of working on their members could be used to disseminate healthy behaviors among adolescents.
Cardiovascular risk stratification in overweight or obese patients in primary prevention. Implications for use of statins [Estratificación del riesgo cardiovascular en pacientes con sobrepeso u obesidad en prevención primaria: Implicaciones en la utilización de estatinas]
Masson W.,Consejo de Epidemiologia y Prevencion Cardiovascular |
Lobo M.,Consejo de Epidemiologia y Prevencion Cardiovascular |
Huerin M.,Consejo de Epidemiologia y Prevencion Cardiovascular |
Molinero G.,Consejo de Epidemiologia y Prevencion Cardiovascular |
And 4 more authors.
Endocrinologia y Nutricion | Year: 2015
Background and objectives: Cardiovascular risk estimation in patients with overweight/obesity is not standardized. Our objectives were to stratify cardiovascular risk using different scores, to analyze use of statins, to report the prevalence of carotid atherosclerotic plaque (CAP), and to determine the optimal cut-off point (OCP) of scores that discriminate between subjects with or without CAP. Material and methods: Non-diabetic patients with overweight or obesity in primary prevention were enrolled. The Framingham score (FS), the European score (ES), and the score proposed by the new American guidelines (NS) were calculated, and statin indication was evaluated. Prevalence of CAP was determined by ultrasound examination. A ROC analysis was performed. Results: A total of 474 patients (67% with overweight and 33% obese) were enrolled into the study. The FS classified the largest number of subjects as low risk. PAC prevalence was higher in obese as compared to overweight subjects (44.8% vs. 36.1%, P=.04). According to the FS, ES, and NS respectively, 26.7%, 39.1%, and 39.1% of overweight subjects and 28.6%, 39.0%, and 39.0% of obese subjects had an absolute indication for statins. All three scores were shown to acceptably discriminate between subjects with and without CAP (area under the curve. >. 0.7). The OCPs evaluated did not agree with the risk category values. Conclusions: Risk stratification and use of statins varied in the overweight/obese population depending on the function used. Understanding of the relationship between scores and presence of CAP may optimize risk estimate. © 2014 SEEN.