Colorectal cancer (CRC) is one of cancer of the highest prevalence in the world. The rate of incidence and death toll of CRC, which rank third place among all cancers, in Taiwan increase rapidly each year. Moreover, the age of morbidity of CRC showed a gradual decrease trend. The total medical expenditure of CRC ranked first in top ten cancers in 2014. Although the screening rate of CRC increases each year, the health-related lifestyle to CRC is less concerned, especially the high risk group with family history of CRC. This series study will divide into three stages, focusing on subjects with family history of CRC and even unhealthy lifestyle. The first stage is a comparative and exploratory study with Colorectal Cancer Risk Prediction Model (CCRPM) as a risk assessment tool. The purpose is to compare the relative risk difference between one group with family history of CRC and one group without and the relative risk of CRC in different gender and age. The second stage will be qualitative research adopting an in-depth interview and content analysis with high risk group with family history of CRC. The purpose is to explore the experience, meaning, obstacle factors and adaptation in leading subjects to a health-related lifestyle. The third stage is to establish a plan to change cognitive-behavioral of healthy lifestyle. The subjects will be high risk group of CRC with behavioral change of lifestyle in pre-contemplation stage, contemplation stage or preparation stage. Randomized control trial will be used to assess the effects of plan of cognitive-behavioral change. The statistic software, SPSS 19.0, will be used in data filing and analysis. The first stage will examine the difference of risk between one group with family history of CRC and one group without through independent t-test or Chi-square (χ2) test. Furthermore the difference of CRC risk between different gender and among different age groups will be examined. Constant comparative analysis, as second stage, will be used to examine the transcripts. The intervention effects will be verified by the GEE model in third stage. All statistical tests will be two-sided, with p values of less than 0.05 considered as indicating statistical significance.
|Effective start/end date||8/1/16 → 7/31/17|