Goal setting as a strategy for health behavior change.

This article discusses the beneficial effects of setting goals in health behavior change and maintenance interventions. Goal setting theory predicts that, under certain conditions, setting specific difficult goals leads to higher performance when compared with no goals or vague, nonquantitative goals, such as "do your best." In contrast to the graduated, easy goals often set in health behavior change programs, goal setting theory asserts a positive linear relationship between degree of goal difficulty and level of performance. Research on goal setting has typically been conducted in organizational and laboratory settings. Although goal setting procedures are used in many health behavior change programs, they rarely have been the focus of systematic research. Therefore, many research questions still need to be answered regarding goal setting in the context of health behavior change. Finally, initial recommendations for the successful integration of goal setting theory in health behavior change programs are offered.

Computerized mental health risk appraisal for college students: user acceptability and correlation with standard pencil-and-paper questionnaires.

Due to an interaction of age, birth cohort, genetics, and the lifestyle factors inherent in the "college experience," some college students are at increased risk for mental health problems such as alcohol, tobacco, and other drug abuse; depression; stress and anxiety; and eating disorders. A program to promote self-monitoring of students' health behaviors could prove beneficial to their future well-being and potentially reduce overall medical costs for this group. Computerized mental health risk appraisals, if valid, reliable, and acceptable to students and administrators, could facilitate implementation and minimize the costs of such a program. This pilot study was designed to determine whether a confidential computer-based risk appraisal is a valid and acceptable measure of current mental health status in a university student sample. Two basic questions were addressed. First, do computerized questionnaires yield results similar to their pencil-and-paper counterparts? Second, how do students rate and compare the two formats?