Table 4 Correlates of sexual dysfunction among subjects as determined by logistic regression analysis (no sexual dysfunction as the reference group).

From: Sexual dysfunction and health condition in Chinese doctor: prevalence and risk factors

 

Male

Female

Univariate analysis

Multivariate analysis

Univariate analysis

Multivariate analysis

P

OR

P

95% CI

P

OR

P

95% CI

Age (years)

0.001

2.14

0.009

1.50–3.05

0.001

2.67

0.001

1.80–3.76

BMI (kg/m2)

0.506

–

–

–

0.364

–

–

–

Education level

0.872

–

–

–

0.524

–

–

–

Marital status

0.355

–

–

–

0.470

–

–

–

Monthly income

0.014

0.45

0.023

0.24–0.96

0.173

–

–

–

Exercise situation

0.002

0.57

0.005

0.37–0.84

0.046

–

–

–

Night shift

0.158

–

–

–

0.013

1.38

0.040

1.04–2.36

Working hours

0.001

1.65

0.017

1.11–2.66

0.001

2.15

0.02

1.31–4.96

Have child

–

–

–

–

0.608

–

–

–

Menopause

–

–

–

–

0.002

5.05

0.010

1.82–8.75

PCS

0.001

0.63

0.001

0.44–0.95

0.025

0.70

0.047

0.52–0.94

MCS

0.012

0.66

0.038

0.48–0.92

0.008

0.43

0.019

0.20–0.89

  1. Age, BMI, PCS and MCS were taken as continuous variables in this model, while the remaining variables were defined as categorical variables and were shown in Table 1.
  2. BMI body mass index, PCS physical component summary, MCS mental component summary.
Back to article page