DESCRIPTION:This year, nearly 1.4 million Americans will be diagnosed with
cancer. Most will survive 5 years and be considered "cured." However, cancer
survivors are at increased risk for developing other cancers, diabetes and/or
cardiovascular disease. Reasons for increased risk across conditions may be
genetic, treatment-related or because common lifestyle factors increase risk
for more than one disease. Thus, if cancer survivors adopt healthier
lifestyles, they also may reduce their risk for secondary cancers and other
chronic disorders. Our preliminary study data on 988 prostate and breast cancer
patients suggest that cancer survivors are exceptionally receptive toward
improving their diet and physical activity behaviors, and that the cancer
diagnosis may render a" teachable moment." Few efforts have capitalized on this
apparent opportunity to promote behavioral change within this high risk
population - one reason may be the barrier of distance (travel), which cancer
survivors list as a leading reason for non-participation in health promotion
programs. Fortunately, there are several ways to overcome this barrier.
An experienced team of investigators in the fields of nutrition, exercise,
behavior, aging, biostatistics & medical informatics at Duke Univ. Med. Ctr.
proposes to test the efficacy of a tailored correspondence course in changing
both diet & physical activity behaviors. We will recruit 530 early stage
prostate & breast cancer patients in 25 NC counties & randomize them to: 1) a
group that receives a 10 mth. tailored correspondence course that promotes
increased physical activity, a low fat diet, and increased fruit & vegetable
intake; or 2) a usual care control group that receives information in unrelated
areas. Intervention efficacy will be gauged by the proportion of participants
in the intervention arm who adopt two or more goal behaviors compared to
control group participants. The purpose of this study is to determine: 1) the
relative short (post-intervention) & long-term (1 yr follow-up) efficacy of
this personalized, computer-generated intervention; 2) the effects of the
intervention on other endpoints (quality of life, perceived health, etc); & 3)
factors, such as gender & race that may interact with the intervention in
predicting program efficacy. If effective, this program could be modified,
easily disseminated & used in a variety of health care settings, thus having
broad public health impact.
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We apologize for the inconvenience.
- The DCCPS Team.