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Table 4 Statistical analyses for variables predicting tendency to undertake preventive health activities (N = 16)

From: Surgeons and preventive health: a mixed methods study of current practice, beliefs and attitudes influencing health promotion activities amongst public hospital surgeons

 

Spearman’s

Generalized Estimating Equation

 

Bivariate correlations

Parameter Estimates

Variable

RO

p

β

p

Confidence in addressing lifestyle changes

0.635

0.008

0.386

0.184

Knowledge in addressing lifestyle changes

0.544

0.029

−0.193

0.543

How effective you think your advice is in helping clients with lifestyle changes

0.710

0.002

0.254

0.747

Clients I see find it agreeable for me to raise lifestyle changes as part of consultation

0.180

0.505

−0.305

0.261

How important lifestyle changes are for health

0.134

0.620

−0.008

0.990

How important it is to address lifestyle changes with patients

0.655

0.006

1.159

0.057

How much of a work priority is it to address lifestyle changes with patients

0.644

0.007

1.217

0.008

How many years of clinical practice have you undertaken?

0.368

0.164

0.258

0.041

  1. Dependent Variable: Implementation of preventive health interventions
  2. GEE Model: (Intercept), Time, Confidence, Knowledge, Effectiveness, Agreeable, Important for health, Important to address, Work priority, Years of clinical practice
  3. Quasi-likelihood under independence model criterion (QIC) = 736