Resumen: BackgroundResearchers have studied for decades workplace stress and burnout to identify their relationship to health and wellness. This research has focused on stress levels in people, as well as on environmental and personal factors that contribute to experiencing stress or burnout. In addition to the burnout measurement questionnaires (MBI-GS), Leiter and Maslach designed a model to evaluate the areas of work environment that relate to this construct (Areas of Worklife Scale-AWLS).The goal of the present research was to analyze the psychometric properties of a Spanish translation of the MBI (GS) and the AWLS with a Spanish-speaking population. This work makes a substantial contribution by addressing the need to use validated measures and methods when exploring the positive and negative aspects of organizations. These conditions provide a means to accurately evaluate the impact of interventions aimed to address stress and burnout.MethodCross-sectional study with self-report measures. The sample was comprised of 452 managers and employees (hotels, restaurants, catering) of Aragon (Spain). There were approximately equal numbers of women and men (45, 4% vs. 54, 6%). The average age of participants was 36.6years (SD=10.03). A battery of questionnaires was used: Socio-demographic and work characteristics, Scale of stress and health symptoms, Maslach Burnout Inventory-General Survey (MBI-GS), Areas of Worklife Scale (AWLS).ResultsThe results showed optimal psychometric properties in both questionnaires, especially in terms of the predictive capacity of the AWLS in each of the MBI-GS dimensions.ConclusionsThe best explained dimension is that of emotional exhaustion. The manageable load variable is the one that most contributes to predicting burnout levels. For future interventions, the results confirm the need to verify the levels of each area of work, in order to focus on the most deteriorated ones. Idioma: Inglés DOI: 10.1186/s12955-019-1201-2 Año: 2019 Publicado en: Health and Quality of Life Outcomes 17 (2019), 133 [11 pp.] ISSN: 1477-7525 Factor impacto JCR: 2.344 (2019) Categ. JCR: HEALTH POLICY & SERVICES rank: 28 / 87 = 0.322 (2019) - Q2 - T1 Categ. JCR: HEALTH CARE SCIENCES & SERVICES rank: 43 / 102 = 0.422 (2019) - Q2 - T2 Factor impacto SCIMAGO: 0.999 - Public Health, Environmental and Occupational Health (Q1) - Medicine (miscellaneous) (Q1)