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. Author manuscript; available in PMC: 2013 May 1.
Published in final edited form as: J Sex Med. 2012 Mar 22;9(5):1285–1294. doi: 10.1111/j.1743-6109.2012.02702.x

Table 2.

Multivariable Analysis of Factors Associated with Addressing Sexuality with Patients

Characteristic Adjusted Odds Ratio (95% CI) p-value
Routinely ask patients about their sexual activities
Gender
Male 1.00 [Referent]
Female 1.98 (1.44, 2.72) <0.001
Type of Patient
General Ob/Gyn 1.00 [Referent]
Predominately Obstetrics 0.96 (0.67, 1.39)
Predominately Gynecology 1.79 (1.27, 2.50) 0.001
Religious Affiliation
None 1.00 [Referent]
Hindu 1.55 (0.64, 3.77)
Jewish 0.83 (0.44, 1.58)
Muslim 1.26 (0.50, 3.20)
Roman Catholic 0.54 (0.30, 0.98) 0.04
Evangelical Protestant 0.51 (0.24, 1.09)
Non-evangelical Protestant 0.56 (0.31, 1.01)
Other Religion 1.18 (0.44, 3.14)
Importance of Religion in Life
Not important part 1.00 [Referent]
Fairly important part 1.14 (0.74, 1.76)
Very important part 1.39 (0.89, 2.15)
Most important part 1.91 (1.08, 3.40) 0.03
Routinely ask patients about their sexual orientation or identity
Gender
Male 1.00 [Referent]
Female 2.92 (2.09, 4.08) < 0.001
Age
60 & over 1.00 [Referent]
46–59 2.50 (1.28, 4.50) 0.005
45 & under 2.40 (1.32, 4.73) 0.006
Type of Patient
General Ob/Gyn 1.00 [Referent]
Predominately Obstetrics 0.98 (0.64, 1.51)
Predominately Gynecology 1.51 (1.05, 2.17) 0.03
Routinely ask patients if they are satisfied with their sexual life
Type of Patient
General Ob/Gyn 1.00 [Referent]
Predominately Obstetrics 1.06 (0.70, 1.59)
Predominately Gynecology 1.47 (1.02, 2.11) 0.04
Routinely ask patients if they experience pleasure with sexual activity
Type of Patient
General Ob/Gyn 1.00 [Referent]
Predominately Obstetrics 1.08 (0.62, 1.90)
Predominately Gynecology 1.81 (1.13, 2.92) 0.01
Routinely ask patients questions to assess for sexual problems or dysfunctions
Type of Patient
General Ob/Gyn 1.00 [Referent]
Predominately Obstetrics 0.79 (0.55, 1.16)
Predominately Gynecology 1.58 (1.14, 2.19) 0.006

Estimates are weighted to account for differential probabilities of selection and differential non-response All models included gender, age, race/ethnicity, immigration history, medical school graduation, type of patients seen, religious affiliation, and importance of religion in the physicians’ life as covariates.