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Background: The availability of genetic testing for cancer risk has prompted an examination of the intention of the general public to undergo testing. This study expands a previous psychosocial model of factors influencing intention to undergo genetic testing for cancer in general to the context of colon cancer., Methods: A sample of 1,836 adult residents of Vermont, New Hampshire, and Maine were interviewed via telephone. The survey instrument included measures derived from the Health Belief Model and additional psychosocial measures adapted from the literature. Structural Equation Modeling techniques were used to examine factors associated with the likelihood to undergo genetic testing., Results: Perceived barriers and benefits of testing, and perceived susceptibility to colon cancer had direct associations with likelihood. Optimism and pessimism had both direct and indirect effects. Age, socioeconomic status, family history, and awareness of genetic testing had indirect effects, and acted through the other factors. The model explained 22% of the variance in likelihood., Conclusions: Perceived barriers, benefits, susceptibility, optimism, and pessimism directly influenced likelihood, and may also mediate the effect of background factors examined in this study. These findings suggest effective educational strategies to improve decision-making concerning genetic testing for colon cancer risk in the general population., (Copyright 2002 Elsevier Science (USA).)

Objectives: This intervention was implemented to reduce the prevalence of cigarette smoking among women., Methods: We used community organization approaches to create coalitions and task forces to develop and implement a multicomponent intervention in 2 counties in Vermont and New Hampshire, with a special focus on providing support to help women quit smoking. Evaluation was by pre-intervention and post-intervention random-digit-dialed telephone surveys in the intervention counties and the 2 matched comparison counties., Results: In the intervention counties, compared with the comparison counties, the odds of a woman being a smoker after 4 years of program activities were 0.88 (95% confidence interval = 0.78, 1.00) (P = .02, 1-tailed); women smokers' perceptions of community norms about women smoking were significantly more negative (P = .002, 1-tailed); and the quit rate in the past 5 years was significantly greater (25.4% vs 21.4%; P = .02, 1-tailed). Quit rates were significantly higher in the intervention counties among younger women (aged 18 to 44 years); among women with household annual incomes of $25,000 or less; and among heavier smokers (those who smoked 25 or more cigarettes daily)., Conclusions: In these rural counties, community participation in planning and implementing interventions was accompanied by favorable changes in women's smoking behavior.