{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T15:10:50Z","timestamp":1793718650774,"version":"4.6.1"},"reference-count":39,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2018,7,1]],"date-time":"2018-07-01T00:00:00Z","timestamp":1530403200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["MDM Policy &amp; Practice"],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:p> Objective. To evaluate the performance of EQ-5D-5L (EuroQol Five-Dimension, Five-Level Questionnaire) and SF-12-v2 (12-item Medical Outcomes Health Survey\u2013Short Form, Version 2) in screening for anxiety and depressive symptoms in adults with type 2 diabetes. Methods. Cross-sectional data from a population-based study of type 2 diabetes in Alberta, Canada, were used. Anxiety symptoms (using the 2-item Generalized Anxiety Disorder questionnaire) were categorized into absent (&lt;3) versus present (\u22653). Depressive symptoms (using the 8-item Patient Health Questionnaire) were categorized according to two severity cut-points: absent (&lt;10) versus mild (\u226510), and absent (&lt;15) versus moderate-severe (\u226515). The performance of the measures in screening for anxiety and depressive symptoms was evaluated using receiver operating curve (ROC) analysis. Results. Average age of participants ( N = 1,391) was 66.8 years (SD 10.2), and 47% were female. Seventeen percent of participants screened positive for mild and 5.9% for moderate-severe depressive symptoms, and 11.3% for anxiety symptoms. For comorbid symptoms, 8.6% screened positive for anxiety and any depressive symptoms, and 4.6% for anxiety and moderate-severe depressive symptoms. The EQ-5D-5L anxiety\/depression dimension and the SF-12 mental composite summary score had the best performance in screening for anxiety (area under ROC: 0.89, 0.89, respectively), depressive symptoms (any: 0.88, 0.92; moderate-severe: 0.90, 0.90), and comorbid anxiety and depressive symptoms (any: 0.92, 0.91; moderate-severe: 0.92, 0.90). These were followed by SF-12 feeling downhearted\/depressed item (range = 0.83\u20130.85), while the lowest performance was for the EQ-5D-5L index score (0.80\u20130.84) and the SF-12 mental health domain (0.81\u20130.82). Conclusion. The EQ-5D-5L and the SF-12 are suitable tools for screening for anxiety and depressive symptoms in adults with type 2 diabetes. These tools present a unique opportunity for a standardized approach for routine mental health screening within the context of routine outcome measurement initiatives, where screening is recommended. <\/jats:p>","DOI":"10.1177\/2381468318799361","type":"journal-article","created":{"date-parts":[[2018,9,16]],"date-time":"2018-09-16T03:05:00Z","timestamp":1537067100000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":15,"title":["Screening for Anxiety and Depressive Symptoms in Type 2 Diabetes Using Patient-Reported Outcome Measures: Comparative Performance of the EQ-5D-5L and SF-12v2"],"prefix":"10.1177","volume":"3","author":[{"given":"Fatima","family":"Al Sayah","sequence":"first","affiliation":[{"name":"School of Public Health, University of Alberta, Edmonton, Alberta, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arto","family":"Ohinmaa","sequence":"additional","affiliation":[{"name":"School of Public Health, University of Alberta, Edmonton, Alberta, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey A.","family":"Johnson","sequence":"additional","affiliation":[{"name":"School of Public Health, University of Alberta, Edmonton, Alberta, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2018,9,15]]},"reference":[{"key":"bibr1-2381468318799361","volume-title":"Global Report on Diabetes","author":"World Health Organization","year":"2016"},{"key":"bibr2-2381468318799361","unstructured":"Diabetes Canada. Diabetes statistics in Canada [cited June 23, 2017]. Available from: http:\/\/www.diabetes.ca\/how-you-can-help\/advocate\/why-federal-leadership-is-essential\/diabetes-statistics-in-canada#_ftn1"},{"key":"bibr3-2381468318799361","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2014.8040"},{"issue":"2","key":"bibr4-2381468318799361","volume":"18","author":"Dziemidok P","year":"2011","journal-title":"Ann Agric Environ Med"},{"key":"bibr5-2381468318799361","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcjd.2015.11.007"},{"key":"bibr6-2381468318799361","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-3999(02)00417-8"},{"key":"bibr7-2381468318799361","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0327(12)70004-6"},{"key":"bibr8-2381468318799361","doi-asserted-by":"publisher","DOI":"10.2337\/diacare.26.10.2822"},{"key":"bibr9-2381468318799361","doi-asserted-by":"publisher","DOI":"10.1001\/archinte.160.21.3278"},{"key":"bibr10-2381468318799361","doi-asserted-by":"publisher","DOI":"10.2337\/diacare.23.7.934"},{"key":"bibr11-2381468318799361","doi-asserted-by":"publisher","DOI":"10.2337\/dc14-1308"},{"key":"bibr12-2381468318799361","unstructured":"Diabetes Canada. 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