We found a strong level of evidence for a relationship between depression and knee pain , limited evidence for no relationship between anxiety and knee pain , and minimal evidence for no relationship between poor mental health and knee pain .
Conclusions Despite the heterogeneity of the included studies , these data show that depression plays a significant role in knee pain , and that a biopsychosocial approach to the management of this condition is integral to optimising outcomes for knee pain
Background While it is recognized that psychosocial factors are important in the development and progression of musculoskeletal pain and disability , no systematic review has specifically focused on examining the relationship between psychosocial factors and knee pain .
We aim ed to systematic ally review the evidence to determine whether psychosocial factors , specifically depression , anxiety and poor mental health , are risk factors for knee pain .
Predictors of pain outcomes in patients with chronic musculoskeletal pain co-morbid with depression: results from a randomized controlled trial.
OBJECTIVE The combination of chronic musculoskeletal pain and depression is associated with worse clinical outcomes than either condition alone . In this study , we report the predictors of pain intensity and activity interference in primary care patients with co-morbid pain and depression . METHODS This is a secondary data analysis of the 250 persons who participated in a r and omized clinical trial design ed to test the effectiveness of 12 weeks of optimized antidepressant therapy for both depression and pain . Using multivariate linear regression analysis , we assessed the predictive value of baseline  self-efficacy , fear of movement , pain  beliefs  , and demographic and clinical factors on 3-month Grade d Chronic Pain Scale pain intensity and activity interference outcomes . RESULTS In the full model , significant sociodemographic predictors of less activity interference included being non-white ( beta-5.8 , P = 0.04 ) and being employed ( beta-13.3 , P < 0.0001 ) . The latter was also predictive of less pain intensity ( beta-5.6 , P = 0.01 ) . As expected , the optimized antidepressant treatment arm was associated with improved outcomes ( pain intensity : beta-3.7 , P = 0.0005 and activity interference : beta-6.4 , P = 0.01 ) . Whereas stronger perceived pain control ( beta 3.6 , P = 0.01 ) was associated with greater activity interference , higher degree of fear of movement ( or fear avoidance ) predicted greater pain intensity ( beta 0.46 , P = 0.04 ) and activity interference ( beta 0.57 , P = 0.05 ) . Neither the location ( low back vs hip/knee ) nor duration of pain were predictive of pain intensity or interference outcomes . CONCLUSION The findings are consistent with a bio-psychosocial model , implicating the need to consider the impact of sociodemographic variables and pain-related beliefs and cognition on pain-related outcomes for patients with co-morbid musculoskeletal pain and depression
We found a strong level of evidence for a relationship between depression and knee pain , limited evidence for no relationship between anxiety and knee pain , and minimal evidence for no relationship between poor mental health and knee pain .
Conclusions Despite the heterogeneity of the included studies , these data show that depression plays a significant role in knee pain , and that a biopsychosocial approach to the management of this condition is integral to optimising outcomes for knee pain
Background While it is recognized that psychosocial factors are important in the development and progression of musculoskeletal pain and disability , no systematic review has specifically focused on examining the relationship between psychosocial factors and knee pain .
We aim ed to systematic ally review the evidence to determine whether psychosocial factors , specifically depression , anxiety and poor mental health , are risk factors for knee pain .