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.