Achieving effective supervision

Super vision probably does have benefits both for the maintenance and improvement of clinical skills and for job satisfaction, but the data are very thin and almost non-existent in the area of alcohol and other drugs services. Because of the potential complexity of objectives and roles in super vision, a structured agreement appears to be an important part of the effective supervision relationship. Because sessions can degenerate easily into unstructured socialization, agendas and session objectives may also be important. While a working alliance based on mutual respect and trust is an essential base for the supervision relationship, procedures for direct observation of clinical skills, demonstration of new procedures and skills practice with detailed feedback appear critical to super vision's impact on practice. To ensure effective super vision, there needs not only to be a minimum of personnel and resources, but also a compatibility with the values and procedures of management and staff, access to supervision training and consultation and sufficient incentives to ensure it continues.

Sitting time and work patterns as indicators of overweight and obesity in Australian adults

BACKGROUND: Increasing levels of physical inactivity and sedentariness are contributing to the current overweight and obesity epidemic. In this paper, the findings of two recent studies are used to explore the relationships between sitting time ( in transport, work and leisure), physical activity and body mass index (BMI) in two contrasting samples of adult Australians. METHODS: Data on sitting time, physical activity, BMI and a number of demographic characteristics were compared for participants in two studies-529 women who were participants in a preschool health promotion project ('mothers'), and 185 men and women who were involved in a workplace pedometer study ('workers'). Relationships between age, number of children, physical activity, sitting time, BMI, gender and work patterns were explored. Logistic regression was used to predict the likelihood of being overweight or obese, among participants with different physical activity, sitting time and work patterns. RESULTS: The total reported time spent sitting per day ( across all domains) was almost 6 h less among the mothers than the workers (P