{"id":274048,"date":"2020-12-04T17:50:43","date_gmt":"2020-12-04T17:50:43","guid":{"rendered":"https:\/\/healthmedicinet.com\/i\/new-ccny-developed-resource-measures-severity-of-work-related-depression\/"},"modified":"2020-12-04T17:50:43","modified_gmt":"2020-12-04T17:50:43","slug":"new-ccny-developed-resource-measures-severity-of-work-related-depression","status":"publish","type":"post","link":"http:\/\/healthmedicinet.com\/i\/new-ccny-developed-resource-measures-severity-of-work-related-depression\/","title":{"rendered":"New CCNY-developed resource measures severity of work-related depression"},"content":{"rendered":"<p><!-- BEGIN EMBEDDED IMAGE --><\/p>\n<figure class=\"thumbnail pull-right\">\n<p>  <\/a><figcaption class=\"caption\">\n<p><strong>IMAGE:\u00a0<\/strong>CCNY psychologist Irvin Schonfeld and his University of Neuch\u00e2tel collaborator Renzo Bianchi have developed a resource to quantify the severity of work-attributed depressive symptoms.<br \/>\n       view <span class=\"no-break-text\">more\u00a0<i class=\"fa fa-angle-right\" \/><\/span><\/a><\/p>\n<p class=\"credit\">Credit: Photo credit: The CityCollege of New York<\/p>\n<\/figcaption><\/figure>\n<p><!-- END EMBEDDED IMAGE --><\/p>\n<p>First came their pioneering research a few years ago linking burnout and depression. Now City College of New York psychologist Irvin Sam Schonfeld and his University of Neuch\u00e2tel collaborator Renzo Bianchi present the Occupational Depression Inventory [ODI], a measure designed to quantify the severity of work-attributed depressive symptoms and establish provisional diagnoses of job-ascribed depression.<\/p>\n<p>Touted by the duo as the first such measure of its kind, the ODI comprises nine symptom items and a subsidiary question assessing turnover intention. A total of 2254 employed individuals in the United States, New Zealand and France participated in the study.  <\/p>\n<p>&#8220;We examined the psychometric and structural properties of the ODI as well as the nomological network of work-attributed depressive symptoms,&#8221; said Schonfeld, describing the methodology. <\/p>\n<p>They adopted an approach centered on exploratory structural equation modeling (ESEM) bifactor analysis and developed a diagnostic algorithm for identifying likely cases of job-ascribed depression.  Work-attributed depressive symptoms correlated in the expected direction with other variables of interest?e.g., job satisfaction, general health status?and were markedly associated with turnover intention. Of the 2254 participants, 7.6% (n = 172) met the criteria for a provisional diagnosis of job-ascribed depression.<\/p>\n<p>According to Schonfeld, their study suggests that the ODI constitutes a sound measure of work-attributed depressive symptoms. &#8220;It may help occupational health researchers and practitioners identify, track and treat job-ascribed depression more effectively,&#8221; he said, adding: &#8220;ODI-based research may contribute to informing occupational health policies and regulations in the future.&#8221;<\/p>\n<p>Schonfeld said unlike other researchers who charge researchers to use instruments they develop; he and Bianchi would make the ODI available to colleagues worldwide at no cost. Entitled &#8220;The Occupational Depression Inventory: A new tool for clinicians and epidemiologists,&#8221; their study appears in the <em>Journal of<br \/>\nPsychosomatic Research.<\/em>\n<\/p>\n<p align=\"center\">###<\/p>\n","protected":false},"excerpt":{"rendered":"<p>IMAGE:\u00a0CCNY psychologist Irvin Schonfeld and his University of Neuch\u00e2tel collaborator Renzo Bianchi have developed a resource to quantify the severity of work-attributed depressive symptoms. view more\u00a0 Credit: Photo credit: The CityCollege of New York First came their pioneering research a few years ago linking burnout and depression. Now City College of New York psychologist Irvin <a class=\"read-more-link\" href=\"http:\/\/healthmedicinet.com\/i\/new-ccny-developed-resource-measures-severity-of-work-related-depression\/\">Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-274048","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"http:\/\/healthmedicinet.com\/i\/wp-json\/wp\/v2\/posts\/274048","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/healthmedicinet.com\/i\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/healthmedicinet.com\/i\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/healthmedicinet.com\/i\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/healthmedicinet.com\/i\/wp-json\/wp\/v2\/comments?post=274048"}],"version-history":[{"count":0,"href":"http:\/\/healthmedicinet.com\/i\/wp-json\/wp\/v2\/posts\/274048\/revisions"}],"wp:attachment":[{"href":"http:\/\/healthmedicinet.com\/i\/wp-json\/wp\/v2\/media?parent=274048"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/healthmedicinet.com\/i\/wp-json\/wp\/v2\/categories?post=274048"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/healthmedicinet.com\/i\/wp-json\/wp\/v2\/tags?post=274048"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}