IntroductionThe aim of the study is to analyse the prevalence of smoking among resident physicians at a regional university hospital. In addition, we examined the trends in the smoking behaviour of physicians in relation to results obtained in other studies carried out previously at this hospital, as well as those published nationally and internationallyMethodA cross-sectional observational study evaluating tobacco consumption in young physicians was carried out at the level of secondary healthcare in a regional university hospital in Cordoba, Spain. All the study subjects were resident physicians who underwent a mandatory preliminary occupational health examination between 2012 and 2016. There was no sampling selection as anyone who took this examination was considered to be within the target population. We calculated the proportions of smokers, former smokers and non-smokers, with 95% CIs. Univariate and multivariate analyses (binary logistic regression) were used to analyse the results (P<0.05).ResultsThe response rate was 99.4%, with a sample size of 324 out of a possible 326 physicians. The average age was 28.6±3.7—DT—(95% CI 28.2 to 29.0), and 62.3% (202/324; 95% CI 57.3 to 67.2) were women. Smoking prevalence was 6.5% (21/324; 95% CI 3.5 to 9.3) with a further 5.2% (17/324; 95% CI 2.7 to 7.8) being ex-smokers. There were no significant differences in the prevalence of tobacco consumption according to age (P=0.266), sex (9.0% for men and 5.0% for women; P=0.128), medical specialty (P=0.651) or year of residency (P=0.975). A 52.7% decline in the number of young physician smokers was noted between 1986 and 2016 (95% CI −44.0 to −63.5), together with a 64.4% increase in non-smokers (95% CI 55.2 to 77.3).ConclusionsWe observed a significantly low prevalence of tobacco use among trainee physicians in the cohort, an effect of new antismoking laws, with positive role model implications for new physicians and medical students.

RESUMENTrabajos previos echan en falta estudios que relacionen el Test de Maslach para medir el Burnout con variables biológicas. De ahí que hayamos enfrentado las tres dimensiones del test (cansancio emocional, despersonalización y realización profesional) con variables fisiológicas y bioquímicas (presión arterial, glucemia y colesterolemia), así como con el Índice de Masa Corporal en una muestra de 186 profesores de secundaria, a partir de los exámenes médicos de la vigilancia de la salud realizados en junio de 2005. El análisis estadístico lo realizamos mediante el programa Epi info. Hemos aplicado el test de "Chi cuadrado" para el análisis de las variables cualitativas, y la prueba de análisis multivariante regresión logística para conocer qué variables formaban parte de la ecuación que predecía el burnout. Los resultados indican la existencia de diferencias significativas entre el componente "realización profesional" del test y el Índice de Masa Corporal (p< 0.05). De forma que quienes puntuaron con una mejor realización profesional tenían un Índice de Masa Corporal más favorable. No hemos encontrado asociación entre los componentes del test, ni con las variables fisiológicas, ni con las bioquímicas; aunque sí con la variable edad (p< 0.05). PALABRAS CLAVESBurnout, profesorado, índice de masa corporal, variables fisiológicas, determinaciones bioquímicas. ABSTRACTPrevious studies have so far pointed out that papers correlating the Maslach Burnout Inventory with biological items are required. Therefore we have correlated the three test dimensions (emotional exhaustion, depersonalisation and professional accomplishment) with physiological (blood pressure), and biochemical measurements (glucose and cholesterol serum levels) as well as the Body Mass Index in a random sample of 186 secondary teachers who attended the occupational medical exam in June 2005. Our results show a significant difference between the personal accomplishment item and the Body Mass Index (p< 0.05). So we conclude that the better personal accomplishment you have, the better Body Mass Index you have. Moreover, none of the Maslach Burnout Inventory items were correlated either with high arterial pressure or with biochemical parameters, but correlated with the age item (p< 0.05). . KEY WORDSBurnout, work-related stress, teachers, body mass index, physiological variables, biochemical measurements.

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