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Original Research

Pain-related psychological correlates of pediatric acute post-surgical pain

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Pages 547-558 | Published online: 12 Nov 2012

Figures & data

Table 1 Recruitment process

Table 2 Peri-operative Information

Table 3 Mean (standard deviation) of pain and related psychological variables for boys, girls, and the total sample when measured 48–72 hours after surgery and 2 weeks after discharge

Table 4 Pain-related psychological variables (48–72 hours after surgery) associated with APSP (48–72 hours after surgery) intensity and unpleasantness using linear regression analysis

Figure 1 Summary of results showing that children who were surgery-naïve had higher levels of anxiety sensitivity and general anxiety compared with children who had undergone surgery in the past.

Notes: Girls reported higher levels of anxiety sensitivity, general anxiety, and pain unpleasantness 48–72 hours after surgery, as well as functional disability 2 weeks after discharge compared with boys. Age, depression, general anxiety, and pain anxiety scores were significantly associated with pain intensity, while analgesic consumption and pain catastrophizing were significantly associated with pain unpleasantness 48–72 hours after surgery. Levels of pain anxiety 48–72 hours after surgery predicted levels of functional disability 2 weeks after discharge from hospital. Plain one-sided arrows represent predictors of pain outcomes. Long-dashed, double-sided arrows represent correlates of pain outcomes. Short-dashed arrows represent predictors of changes in pain and functional disability over time. Black boxes represent pain and functional disability outcomes. Gray boxes represent predictors and correlates.
Figure 1 Summary of results showing that children who were surgery-naïve had higher levels of anxiety sensitivity and general anxiety compared with children who had undergone surgery in the past.

Table 5 Pain-related psychological variables (48–72 hours after surgery) associated with APSP (2 weeks after discharge) intensity and unpleasantness and functional disability using linear regression analysis