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. Author manuscript; available in PMC: 2008 Jan 2.
Published in final edited form as: J Adolesc Health. 2007 Jul;41(1):42–50. doi: 10.1016/j.jadohealth.2007.02.017

Table 2.

Bivariate Associations with High Counseling Interest

n (%) χ2 (df) = p
Demographic and Clinical Practice Information
Age, in years
 ≥41 63 (54)
 <41 51 (48) 0.86 (1) = ns
Gender
 Male 34 (47)
 Female 82 (53) 0.80 (1) = ns
Race
 Caucasian or White 83 (49)
 Other 31 (53) 0.28 (1) = ns
Professional affiliation
 Physician 73 (54)
 Other 40 (47) 1.08 (1) = ns
Formal training in clinical genetics
 Yes 18 (55)
 No 96 (48) 0.26 (1) = ns
Years in independent practice
 ≥6 63 (54) 0.41 (1) = ns
 <6 52 (50)
Practice setting
 Academic 86 (51)
 Other 30 (49) 0.05 (1) = ns
Hours spent in clinical practice per week
 ≥20 80 (51)
 <20 32 (49) .08 (1) = ns
Patients seen per week
 ≥30 70 (54)
 <30 37 (46) 1.27 (1) = ns
Screening Behaviors
GAPS wellness screening
 Low 39 (42)
 High 77 (57) 5.09 (1) = .02
GAPS at-risk screening
 Low 43 (43)
 High 73 (56) 3.64 (1) = .06
Biomarker screening
 Low 40 (46)
 High 76 (54) 1.35 (1) = ns
Tobacco use screening
 Low 24 (28)
 High 92 (64) 29.22 (1) = .00
Attitudes and Beliefs
Adolescent perceived interest in tobacco control
 Low 52 (47)
 High 64 (54) 1.25 (1) = ns
Variation in smoking due to genes
 Low 41 (45)
 High 71 (55) 2.18 (1) = ns
Variation in smoking not due to genes
 Low 47 (59)
 High 67 (46) 3.42 (1) = .06
Research optimism
 Low 39 (36)
 High 77 (63) 15.66 (1) = .00
Genetic counseling barriers
 Low 63 (52)
 High 50 (48) 0.36 (1) = ns