scispace - formally typeset
Search or ask a question
Author

Juan Carlos Sotolongo López

Bio: Juan Carlos Sotolongo López is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 3 citations.

Papers
More filters
06 Jan 2011
TL;DR: The smoking behavior in health staff of hospitalization area is observed mainly in the service staff, young, female sex, white skin, married, with a low dependence of nicotine, without a prior anti-smoking treatment with consequences for stomatologic and peripheral vascular health and mainly the deterioration of the personal economy.
Abstract: Introduction: there are evidences that the function of health professionals is very important at the moment of social change regarding the smoking and that is own smoke habit has a relevant influence on it. Objective: to determine the smoking behavior in the health staff of a hospitalization area. Methods: a cross-sectional and descriptive study was conducted in the "Dr. Carlos J. Finlay" Central Military Hospital over the first semester of 2010 including 9 smokers including physicians, nurses and service staff. In all the cases a survey was distributed as well as the Fagerström test. Results: there was predominance of female sex (57.8 %) The Fagerström questionnaire showed a low dependence rate (31.1 %). Severity of addiction demonstrated that the 75.5 % was the social group considered as slight or intermittent. The 47.8 % was in training phase for quite the smoking. The 76 % declared had not anti-smoking treatment. Deterioration of personal economy was the more mentioned smoking consequence in all the groups (80 %); whereas among the smoking-provoked diseases, the stomatologic diseases (25.5 %) and the peripheral vascular ones (24.4 %) were fundamental. Conclusions: it is take into account the smoking behavior in health staff of hospitalization area is observed mainly in the service staff, young, female sex, white skin, married, with a low dependence of nicotine, without a prior anti-smoking treatment with consequences for stomatologic and peripheral vascular health and mainly the deterioration of the personal economy.

3 citations


Cited by
More filters
Journal ArticleDOI
TL;DR: The high prevalence of tobacco and alcohol use in these health sciences students is cause for concern, with consequences not only for their individual health, but also for their professional effectiveness in helping reduce these drugs' impact in both countries.
Abstract: INTRODUCTION: Smoking and alcohol use (beyond social norms) by health sciences students are behaviors contradictory to the social function they will perform as health promoters in their eventual professions. OBJECTIVE: Identify prevalence of tobacco and alcohol use in health sciences students in Mexico and Cuba, in order to support educational interventions to promote healthy lifestyles and development of professional competencies to help reduce the harmful impact of these legal drugs in both countries. METHODS: A descriptive cross-sectional study was conducted using quantitative and qualitative techniques. Data were collected from health sciences students on a voluntary basis in both countries using the same anonymous self-administered questionnaire, followed by an in-depth interview. RESULTS: Prevalence of tobacco use was 56.4% among Mexican students and 37% among Cuban. It was higher among men in both cases, but substantial levels were observed in women as well. The majority of both groups were regularly exposed to environmental tobacco smoke. Prevalence of alcohol use was 76.9% in Mexican students, among whom 44.4% were classified as at-risk users. Prevalence of alcohol use in Cuban students was 74.1%, with 3.7% classified as at risk. CONCLUSIONS: The high prevalence of tobacco and alcohol use in these health sciences students is cause for concern, with consequences not only for their individual health, but also for their professional effectiveness in helping reduce these drugs' impact in both countries.

10 citations

01 Jan 2014
TL;DR: Seek help for smoking cessation middle-aged, dependent on nicotine, with high consumption, early initiation to smoking-related diseases psychotherapeutic strategies needed to be consistent with this characterization.
Abstract: Introduction: Smoking is an addictive disease remains difficult for many smoking cessation. For prevention and control in Cuba multiple measures ranging from increasing the price of cigarettes to provide desestimulación treatments are taken. Objective: To characterize smokers seeking help to quit, according to sociodemographic variables, consumption characteristics, associates and people that influenced the decision to stop diseases. Methods: A descriptive investigation was conducted with 103 patients who came in 2012 to serve desensitization of smoking behavior the Community Mental Health Center Square of the Revolution in Havana. They conducted a questionnaire and informed the Fagerström test for identifying the degree of nicotine dependence prior consent. Results: The prevalence of patients older than 45 years with an average education level and higher employment relationship was found. Most smokers had family confirming the high significance of learning by imitation. Predominated smoking initiation in adolescence and sociocultural pathogenic pathway. Prevailed a degree of severe respiratory and smoking being the most reported cardiovascular disorders. Family and friends were the most influential people for leaving. The guidance by family doctors was limited. Conclusions: Seek help for smoking cessation middle-aged, dependent on nicotine, with high consumption, early initiation to smoking-related diseases psychotherapeutic strategies needed to be consistent with this characterization. It was limited in primary care, medical advice.

3 citations

22 Jul 2003
TL;DR: In this article, a study of 150 pacientes with Bupropion was conducted to identify the variables that can be used to predict whether a patient will stop smoking after completing a tratamiento.
Abstract: El Bupropion es el primer farmaco no nicotinico con eficacia demostrada en la deshabituacion tabaquica, sin embargo no todos los pacientes que se someten a este tratamiento consiguen dejar de fumar. El objetivo de la presente tesis ha sido el de identificar aquellas variable que son por si mismas predictivas del exito del tratamiento y desarrollar una ecuacion matematica capaz de cuantificar la probabilidad de dejar de fumar . Para ello han sido estudiados 150 pacientes, seguidos durante un ano. Eran todos fumadores de mas de 15/cigarrillos dia y en fase de preparacion. Fueron tratados con 300 mg de Bupropion al dia y durante 8 semanas. Se tomaran en cuenta una serie de variables divididas por categorias: a) Variables Clinicas: edad del paciente, numero de paquetes/ano fumados, numero de intentos previos para dejar de fumar, si no habian fumado nada durante la primera semana de tratamiento y si habian sido diagnosticados de EPOC. b) Variables Funcionales: FVC, FEV1, FEV1/FVC, FEF 25-75%. C) Variables Psicometricos: ansiedad y depresion. d) Variables de Tabaquismo: Fagestrom, CO espirado. Despues de un ano de seguimiento un 50,7% de nuestros pacientes habian conseguido dejar de fumar. Posteriormente se realizo un analisis univariante para conocer si alguna variable presentaba diferencias significativas entre los pacientes que habian conseguido dejar de fumar y los que no. Encontramos tres variables con significacion estadistica: la ansiedad, el no haber fumado nada durante la primera semana de tratamiento y el FEF25-75%. Posteriormente, mediante la regresion logistica, segun tecnica descrita por Domenech, construimos un modelo mas parsimonioso donde fueron incluidas dos variables mas: la depresion y el ser o no EPOC. Un dato importante es el signo de las variables: el signo positivo indica que la presencia de esta sera un factor positivo, es decir que si el paciente es ansioso, depresivo y no fuma durante la primera semana, sus probabilidades de dejar de fumar aumentaran. Por el contrario si el paciente es EPOC sus probabilidades disminuiran. El FEF 25-75 es una variable continua, siendo su interpretacion mas dificil: nuestros resultados demostraban que aquellos pacientes con FEF 25-75 bajos tenian mas posibilidades en dejar de fumar, posiblemente este hecho fuese debido a que nosotros siempre ensenamos a los pacientes los resultados espirometricos, la mejoria del FEF25-75 podria estar funcionando como un reforzador positivo, al igual que pequenas perdidas de peso ayudan a determinados a pacientes a seguir dietas hipocaloricas. Por ultimo trasladamos nuestras cinco variables a la ecuacion de la regresion logistica, construyendo asi un modelo matematico que permite predecir cual es la probabilidad de cada paciente de poder abandonar su habito tabaquico. Al testar el valor predictivo de la ecuacion esta tenia un area bajo la curva ROC del 88%. The Bupropion is the first medication without nicotine and effectiveness demonstrated in the smoking cessation. However not all the patients that undergo this treatment are able to stop to smoke. The objective of the present thesis has been the one of to identify those variables that they are for themselves predictive of the success of the treatment and to develop a mathematical equation able to quantify the probability of stopping to smoke. For 150 patients they have been studied, followed during one year. They were all smokers of more than 15cigarettes/day and in preparation phase. They were been with 300 mg from Bupropion to day and during 8 weeks. They took into account a series of variables divided by categories: to) Clinical Variables: the patient's age, number of smoked package/year, number of previous intents to stop to smoke, if they had not smoked anything during the first week of treatment and if they had been diagnosed of COPD. b) Functional Variables: FVC, FEV1, FEV1/FVC, FEF 25-75%. C) Psychological Variables: anxiety and depression. d) Tobacco Variables: Fagestrom test and CO exhaled. After a year of follow-up 50,7% of our patients had been able to stop to smoke. Later on we was carried out an univariant analysis to know if some variable presented significant differences among the patients that had been able to stop to smoke and those that not. We find three variables with statistical significance: the anxiety, not having smoked anything during the first week of treatment and FEF25-75%. Later on, by means of the logistical regression, according to technique described by Domenech, we build a more parsimonious model where two variables were included more: the depression and the being or non COPD. An important fact is the sign of the variables: the positive sign indicates that the presence of this will be a positive factor, that is to say that if the patient is anxious, depressive and doesn't smoke during the first week, their probabilities of stopping to smoke will increase. On the contrary if the patient is COPD her probabilities they will diminish. The FEF 25-75 is a continuous variable, being its more difficult interpretation: our results demonstrated that those patients with FEF 25-75 diminished values initials, had more possibilities in stopping to smoke. This fact was possibly because we always showed the spirometric results to the patients, the improvement of the FEF25-75 could be working as a positive reinforce, the same as small losses of weight they help to certain to patient to follow diets with few calories. Lastly we transfer our five variables to the equation of the logistical regression, building this way a mathematical model that allows predicting which is each patient's probability of being able to abandon their smoke dependence. When making a will the predictive value of the equation this had an area under the curve ROC to 88%.

1 citations