Objectives: A model of structural equations of existent relationships between socio-environmental, physical and medical consult variables as stress generators in a public general hospital ward patients was the purpose. Background: Literature mentioned there are multiple factors in hospital environments that could precipitate new health problems include stress originated by noise (Evans & Lepore, 1997), lack of control over the social interaction of patients and visitors (Conell, Sanford, Megrew & Thesing, 1997), lack of signaling and consequent disorientation (Atef & McCormick, 1995, Boelter & Torgrude, 1997), the symbolic image giving negative messages to visitors or relatives such as not being welcome, or ambiguous messages interpreted as not belonging to a certain part of the hospital or health center (Ortega-Andeane, 1993), as well as the effects of medical attention and socio-environmental factors as stress generators in hospitals (Ortega, 2002). Method of inquiry: Three different waiting rooms at a General Hospital and a sample of 253 women were evaluated: the physical variables measured were: sound, light, temperature, humidity, air velocity and suspended particles in air. Valid and reliable psychometric scales were developed to measure each social environmental variable: functionality, negative physical valuation, spatial perception and equipment and safety and confidence in medical service, stay in ward evaluation, human quality of attention, environmental meaning and way finding. The kind of illness, waiting time and type of waiting room, were considered as part of the medical consulting variables. Findings & Conclusions: The results allowed developing a valid predictive model based on structural equation statistics which links theoretical relationships among stressors such as: physical comfort environmental meaning and way finding, with empirical data obtained from this study; including the observed variables such as waiting time, temperature and social density. Applicability to the field: We discussed the results in term of the importance of the model. The model we were able to generate offers the possibility of identifying environmental stress sources with their several social environmental and physical components, as well as the direct and indirect sources that generate it. Such a model offers us the possibility to eliminate stress sources in the construction of hospitals or at least to minimize them, by giving information which, translated to design guides, offers great opportunities of primary prevention, eliminating possible risks on users’ health.