IMPROVING FRUIT AND VEGETABLE INTAKES

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This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The conduct of cancer prevention trials through community settings and/or national networks of clinical sites requires the development of appropriate interventions. One promising behavioral strategy that is very simple to administer is that of the formulation of implementation intentions. The premise of this intervention is that once persons formulate a plan of action, automatic behavior follows. Use of this intervention in primary care is an innovative approach to eliciting preventive behaviors with minimal staff time. The goal in this study will be to increase fruit and vegetable consumption by 2 servings/day without a change in overall energy intakes by decreasing consumption of a less nutritious food. Substitution of foods is critical for prevention of weight gain. This feasibility study aims conduct a randomized, controlled clinical trial to test whether formulation of implementation intentions, either alone or with telephone support, can increase fruit and vegetable consumption without an increase in overall energy intakes. Recruitment success in a family medicine clinic in Ypsilanti Michigan will be documented with emphasis on the extent of minority participation. Dietary assessment will be the main outcome variable. Other assessments will include demographics, self-assessment of behaviors targeted by the intervention and levels of carotenoids in plasma. We will enroll 105 subjects to retain 28/arm, and power is good to detect small differences in fruit and vegetable intakes among the three study arms. This will generate useful data for the design of larger dietary intervention trials that are cost-effective and which will utilize multiple clinical sites to optimize enrollment.'