Data analysis
Participants were divided into the interventional cardiologist group
(ICG) and the non-interventional cardiologist group (non-ICG). ICG and
non-ICG were matched by propensity score using information collected on
demographics, occupation, and lifestyle. The greedy approach was used to
identify the best propensity score-matched pairs based on propensity
score difference < 0.001 between the paired patients. OHHs in
the two propensity-score matched groups were compared using paired
t-test or McNemar test according to the nature and distribution of the
measured outcomes. The data collected on ICP, PPE, radiation exposure
and PHP needs in interventional cardiologists were summarized using
descriptive statistical methods. Univariate and multiple logistic
regression analyses were conducted to identify predictors for
back pain in interventional
cardiologists. All data analyses were conducted using the statistical
software R (4.0)16. The
statistical significance was defined as a two-sided p-value <
0.05.