Children, women, and substance abuse: a look at recovery in a communal setting

This study explored the sense of community among women (n = 21) and women with children (n = 30) living in Oxford Houses, with emphasis on how the presence of children might affect the household. Sense of community did not vary between participants with more or less than three months residence. Residents reported very high levels of satisfaction with the home, possibly because of a ceiling effect of little room for increases in their sense of community over time. Participants reported that they were getting along with the children in the home, that mothers could count on babysitting help, and that the children had a positive effect on the household and their own recovery process. This effect did not differ between mothers and non-mothers, suggesting that non-mothers might view the children in the home with a sense of responsibility and sensitivity comparable to that of the mothers. Implications are discussed.     

Cultivating and maintaining effective action research partnerships: the DePaul and Oxford House collaborative

In this paper, we review the result of research conducted in the context of a 13-year collaborative partnership between DePaul University and a community-based, self-run, residential substance abuse recovery program called Oxford House. This collaborative effort highlights several examples of the research and action activities fostering a positive alliance that benefited both the research team and the Oxford House community. It also proposed practical guidelines for developing effective action research collaboratives that may be helpful to others who desire to cultivate and maintain similar mutually beneficial partnerships; including such processes as the development of trust, respecting the personal experiences of the community members and group, commitment to serving the community, validating findings with organization members, and accountability.     

Prevention science,drug abuse prevention,and Life Skills Training: Comments on the state of the science

There has been tremendous growth in the field of prevention science over the past two decades. The defining features of contemporary prevention science are high quality empirical research using rigorous and well-established scientific methods, careful hyphothesis testing, and the systematic accumulation of knowledge. One area where substantial progress has been made is in our understanding of the etiology and prevention of tobacoo, alcohol, and illicit drug abuse. In this paper, we review the growth in prevention as a scientific enterprise, discuss advances in drug abuse prevention research, and review the effectiveness of one approach to the problem of adolescent drug abuse, the Life Skills Traning (LST) program, and the methodological strengths of the LST evaluation research. In addition, we provide a response to criticism regarding two types of data analysis in evaluation research, and show that these analyses can help address a number of important research questions with implications for theory and practice. First, the analysis of high fidelity subsamples can address research questions about the importance of program implementation fidelity; and second, composite measures of concurrent tobacco, alcohol, and marijuana use (i.e., polydrug use) are useful in testing research questions about program effects on more serious levels of drug involvement. With an increasing number of ramdomized controlled trials underway, the field of prevention science is contributing to a new generation of evidence-based approaches and policies that, if widely utilized, offer the potential of reducing the mortality and morbidity associated with a number of major health and social problems.     

Automated Texture Recognition of Quartz Sand Grains for Forensic Applications*

Quartz sand surface texture analysis has been automated for the first time for forensic application. The derived Basic Image Features (BIFs) provide computer-generated texture recognition from preexisting data sets. The technique was applied to two distinct classification problems; first, the ability of the system to discriminate between (quartz) sand grains with upturned plate features (indicative of eolian, global sand sea environments) and grains that do not exhibit these features. A success rate of grain classification of 98.8% was achieved. Second, to test the ability of the computer recognition system to identify specific energy levels of formation of the upturned plate surface texture features. Such recognition ability has to date been beyond manual geological interpretation. The discrimination performance was enhanced to an exact classification success rate of 81%. The enhanced potential for routine forensic investigation of the provenance of common quartz sand is indicated.