Patterns and Determinants of Attitudes towards Genetic Risk of Cancer: Case Study in a Malaysian Public University

Table 3

Mean and standard deviation for awareness of genetic profiling of cancer risk (n=272).

		Mean for science; (n=218)	Mean for arts; (n=54)	Overall Mean	Overall SD
(1)	Cancer diseases can be biologically profiled, i.e., genetic fingerprints can be constructed to discriminate/distinguish between those who are at risk and those who are not.	3.8	2.9	3.6	0.983
(2)	Do you agree that a person's genetic profile can be used to check whether he/she is at risk of cancer diseases?	4.2	3.7	4.1	0.791
(3)	There is a lack of research on biological (genetic) profiles of various cancer diseases.	3.5	3.4	3.5	0.863
(4)	Are you aware that biological profiles based on genetic biomarkers have been developed for use in cancer risk prediction?	3.7	3.2	3.6	0.978

Note. 1 for strongly disagree, 2 for disagree, 3 for neutral, 4 for agree, and 5 for strongly agree.
Differences between science and arts stream respondents were significant at p < 0.01.