We have located links that may give you full text access.
CLINICAL TRIAL
COMPARATIVE STUDY
JOURNAL ARTICLE
RESEARCH SUPPORT, NON-U.S. GOV'T
Short Form 36 and Hospital Anxiety and Depression Scale. A comparison based on patients with testicular cancer.
Journal of Psychosomatic Research 2002 Februrary
BACKGROUND: The aim of this study was to compare the scorings of anxiety and depression assessed by the Hospital Anxiety and Depression Scale (HADS-A [Anxiety] and HADS-D [Depression]) with the scorings on the eight subscales of Short Form 36 (SF-36) and the Physical (PCS) and Mental Component Summary (MCS) assessed by the same patients.
METHOD: In a cross-sectional study 736 long-term survivors after treatment for testicular cancer (TC) completed HADS and SF-36. Pearson's correlation coefficients were calculated on item and scale level to assess the associations between the HADS and the SF-36 scales and, in particular, between HADS and PCS and MCS, respectively. Independent predictors for PCS and MCS were identified by linear regression analysis.
RESULTS: HADS-A and HADS-D were significantly associated with the SF-36 summary scales. HADS-A explained 5% of the variance of PCS and 49% of the variance of MCS. The comparable figures for HADS-D were 10% and 45%, respectively. In the multivariate analysis the HADS-D scoring independently predicted the level of PCS together with the patients' educational level, long-lasting working disability and age (variance: 30%). Both HADS-D and HADS-A remained independent parameters for MCS (variance: 58%) together with the patient's civil status. HADS-D item D4 ("slowed down") was similarly associated with both PCS and MCS.
CONCLUSION: In univariate analyses HADS-D and HADS-A were statistically associated with PCS and MCS. The highest r values were observed for the associations between HADS and MCS, in particular between HADS-A and MCS. In the multivariate analyses HADS-D, but not HADS-A, contributed to PCS, whereas both HADS-A and HADS-D were associated with MCS. This pattern of different predictions of the summary scales of SF-36 supports a clinical practice that anxiety and depression should be assessed separately. Additional use of a self-rating instrument for depression and anxiety, such as HADS, is recommended when SF-36 is used for quality of life (QL) assessment.
METHOD: In a cross-sectional study 736 long-term survivors after treatment for testicular cancer (TC) completed HADS and SF-36. Pearson's correlation coefficients were calculated on item and scale level to assess the associations between the HADS and the SF-36 scales and, in particular, between HADS and PCS and MCS, respectively. Independent predictors for PCS and MCS were identified by linear regression analysis.
RESULTS: HADS-A and HADS-D were significantly associated with the SF-36 summary scales. HADS-A explained 5% of the variance of PCS and 49% of the variance of MCS. The comparable figures for HADS-D were 10% and 45%, respectively. In the multivariate analysis the HADS-D scoring independently predicted the level of PCS together with the patients' educational level, long-lasting working disability and age (variance: 30%). Both HADS-D and HADS-A remained independent parameters for MCS (variance: 58%) together with the patient's civil status. HADS-D item D4 ("slowed down") was similarly associated with both PCS and MCS.
CONCLUSION: In univariate analyses HADS-D and HADS-A were statistically associated with PCS and MCS. The highest r values were observed for the associations between HADS and MCS, in particular between HADS-A and MCS. In the multivariate analyses HADS-D, but not HADS-A, contributed to PCS, whereas both HADS-A and HADS-D were associated with MCS. This pattern of different predictions of the summary scales of SF-36 supports a clinical practice that anxiety and depression should be assessed separately. Additional use of a self-rating instrument for depression and anxiety, such as HADS, is recommended when SF-36 is used for quality of life (QL) assessment.
Full text links
Related Resources
Trending Papers
Challenges in Septic Shock: From New Hemodynamics to Blood Purification Therapies.Journal of Personalized Medicine 2024 Februrary 4
Molecular Targets of Novel Therapeutics for Diabetic Kidney Disease: A New Era of Nephroprotection.International Journal of Molecular Sciences 2024 April 4
Perioperative echocardiographic strain analysis: what anesthesiologists should know.Canadian Journal of Anaesthesia 2024 April 11
The 'Ten Commandments' for the 2023 European Society of Cardiology guidelines for the management of endocarditis.European Heart Journal 2024 April 18
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app