Portrayals of food practices and exercise behavior in popular American films.

OBJECTIVE: To describe depictions of food, alcohol, and exercise and sport in popular films. DESIGN: Content analysis of the 10 top-grossing films each year from 1991 to 2000 (N = 100 films). ANALYSIS: Coding reliabilities were assessed with Cohen's kappa. Research questions were addressed with basic descriptive statistics. Associations among variables were examined through a cross-tabulation procedure that corrects for the clustering of exercise and food depictions within movies. RESULTS: Food and drink appeared regularly in the films analyzed, typically as a background element or prop. On average, food appeared on the screen once every 4.2 minutes. The foods shown were most likely to be fats, oils, and sweets; fruits, vegetables, and dairy products were rarely seen. More than 20% of the food items shown were alcoholic beverages, which were nearly 2 times more likely to be ingested as nonalcohol food items. Planned exercise and sports appeared at a rate of about 2 incidents per hour. These activities rarely received explicit evaluation by characters. CONCLUSIONS AND IMPLICATION: Films frequently portray foods and exercise. These depictions have the potential to cultivate beliefs about normative eating and exercise behavior, suggesting a need for public health professionals to encourage the media to offer healthier images.

Data mining as a tool for research and knowledge development in nursing.

The ability to collect and store data has grown at a dramatic rate in all disciplines over the past two decades. Healthcare has been no exception. The shift toward evidence-based practice and outcomes research presents significant opportunities and challenges to extract meaningful information from massive amounts of clinical data to transform it into the best available knowledge to guide nursing practice. Data mining, a step in the process of Knowledge Discovery in Databases, is a method of unearthing information from large data sets. Built upon statistical analysis, artificial intelligence, and machine learning technologies, data mining can analyze massive amounts of data and provide useful and interesting information about patterns and relationships that exist within the data that might otherwise be missed. As domain experts, nurse researchers are in ideal positions to use this proven technology to transform the information that is available in existing data repositories into useful and understandable knowledge to guide nursing practice and for active interdisciplinary collaboration and research.