Common Sense Model Of Self Regulation

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Authors Study objectives Population Involvement/theoretical model Results/Conclusions
Anagnostopoulos et al., 2012 Examination of associations between illness perception, self-efficacy, perceived benefits and barriers related to mammographic screening and its predictive value. N=408 (female, age group ≥40 years, no personal history of cancer) The Common Sense Model of Self Regulation (CSM + SRM) - theoretic standard for conducting research on health beliefs, disease representations and women’s habits to undergo mammograms. The results support bivariate significant associations between health beliefs with regard to breast cancer and certain representations of the disease which correlate with multiple benefits of mammographic screening, fewer
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Cameron L, Reeve J, 2006 Assessment of unique associations between risk perceptions and worries and attitudes towards genetic testing for breast cancer detection. N = 303 (62 1st degree relatives with a history of breast cancer in the family, 152 nurses, 89 students with no 1st degree relatives diagnosed with breast cancer) Common Sense Model of Self Regulation (CSM + SRM) Worries were associated with a greater interest in undergoing a genetic test, while the perceived risk was not related with the interest in being tested.
Cameron et al., 2012 Testing the effectiveness of a communication strategy N=749 adults CSM – used in testing the effectiveness of the strategy Providing information on the risk actions resulted in improved beliefs, lowered estimates of colon cancer risk, which yielded positive
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The difficulty they had in expressing their emotions prior to genetic testing contributed to a similar difficulty after they found out the result. Kaphingst A.K., Lachance R.C., Condit M.C., 2009 Analysis of the correlation between the beliefs about inheriting cancer and searching for information for own health and protective behaviors N = 5813 adults. CSM - adapting the model in the analysis Individuals who believed that information about genetic family history of cancer may reduce the risk of cancer were significantly more likely to be in search for cancer information. Heavy smokers who were convinced that genes were the main cause of lung cancer are significantly more likely to smoke
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