Different pain variables could independently predict anxiety and depression in subjects with chronic musculoskeletal pain.

Objectives: Chronic, clinical pain states are often accompanied by distress such as anxiety and depression. The aim of this study was to determine if certain clinical pain variables could predict the level of anxiety and depression in subjects with musculoskeletal pain.

Methods: Two multiple linear regression analyses were conducted on a sample consisting of 189 subjects with clinical pain with the independent pain variables of pain intensity, the influence of pain on daily activities, pain persistence, pain duration, and the number of pain locations. The dependent variables measured anxiety and depression, respectively.

Result: Two statistically significant models were found, where the predicted variables accounted for 37.0% of the variability in the anxiety levels and 43.7% of the variability in the depression levels. The independent variable, the influence of pain on daily activities, significantly predicted the level of anxiety. The variables, the influence of pain on daily activities and the number of pain locations, significantly predicted the levels of anxiety and depression.

Conclusions: This study showed that two different independent variables, the influence of pain on daily activities and the number of pain locations, significantly predicted the levels of depression. The predictor, the influence of pain on daily activities, significantly predicted the levels of anxiety. The knowledge gained about which specific pain variables are more likely to coexist with anxiety and depression in clinical pain states could be important in implementing holistic treatment plans for chronic pain.