By Harold D. Holder
An individual's determination to exploit alcohol and the frequency, volume, and occasions of use are the results of a mix of organic and social components. consuming isn't just a private selection, but additionally a question of customized and social habit, and is prompted through entry and fiscal elements together with degrees of disposable source of revenue and price of alcoholic drinks. till prevention efforts stop to concentration narrowly at the person and start to undertake broader group views on alcohol difficulties and methods to lessen them, those efforts will fail. the writer demanding situations the present implicit types utilized in alcohol challenge prevention and demonstrates an ecological viewpoint of the group as a fancy adaptive method composed of interacting subsystems. this significant quantity represents a brand new and good method of the prevention of alcohol dependence and alcohol-related difficulties.
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Extra resources for Alcohol and the Community: A Systems Approach to Prevention
Effective public policy to reduce alcohol-involved problems is best formulated when decision-makers are aware of the range of existing prevention alternatives and their potential effects. However, policy often cannot await the completion of definitive research analyses. Further, given the nature of scientific research, it is unlikely that sufficient data will ever exist to permit prevention strategies to be selected with complete certainty of their outcome. Community prevention planners wish to make use of the best available scientific research, but the results of most prevention research are published in technical journals and reports in a form that makes their practical application difficult.
2) Identifying the implications of existing information, as well as gaps in our knowledge. By enabling us to interrelate research findings and explore their implications, a model will increase our understanding of 20 Community system of alcohol use and problems specific alcohol problems and their prevention, as well as helping us to identify the limits of our knowledge and, thus, our research needs. (3) Expanding available analytical tools. Most statistical techniques used in social, behavioral, and biomedical research cannot adequately account for the dynamic interaction of system variables.
3. Although this simple description does not fully explore the nuances of the interrelationships among community subsystems, it does illustrate how relationships among subsystems are established. The status and nature of a subsystem at any point in time is influenced by the other subsystems with which it interacts; but at the same time, this subsystem can influence the status and nature of the other subsystems. In this fashion, a series of mutually influencing relationships (feedback loops) are established and maintained.