Methods: We conducted an anonymous self-report questionnaire in 160 system engineers of information services in 2008. A checklist of the level of fatigue accumulation developed by the Ministry of Health, Labor and Welfare in Japan was used. Items of questionnaire were degree of a burden of working hours, work contents, eye strains, sleeping hours and situations of daily life. A description of entry by voluntary agreement was attached to questionnaires. We obtained approval from respondents because of submitting their questionnaires. Results: Responses were obtained from 120 people (75%). One hundred (83%) people for men and they had most 30 s in 59 people (49%). The number of people with 45 hours or more overtime work in month was 26 people (22%). The number of low risk group of fatigue accumulation was 53 people (44%) and highrisk group was 67 people (56%). The high risk group had a significantly higher percentage of 60 minutes or more of commuting time, seconded staff and 45 hours or more of overtime hours than low risk group. The high risk group had a significantly higher percentage of the burdens in working hours, amount of work, difficulty of work, time pressure on the appointed date of delivery, troubles after the delivery of the order, communication problems, uncomfortable setting, eyes or neck pain and fatigue. Conclusion: This study revealed that the level of fatigue accumulation of Japanese system engineers related their work environment. It was suggested that nurses in business setting need to approach the level of fatigue accumulation depending on characteristics of the work condition and environment of system engineers. Objectives: The aim of this longitudinal study is to evaluate wellness effects of a tailored problem solving process intervention program for health care employees. Methods: Socio demographic variables, work conditions, higher order goal facilitation as well as health related outcomes were assessed from the experimental group (N=461) as from the control group (N=246; Total: N=707) at a first measurement moment (T1) and a second T2 (3 years later). Regression analyses were used to explore the changes between T1 and T2 and the effects on health related outcome variables. Results: Generally, the results indicate that positive changes in work conditions and higher order goals significantly affect health and wellbeing of health care employees positively. The effects are stronger in the experimental health care centres compared to the effects in the total sample group. S194