{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T08:43:38Z","timestamp":1782549818980,"version":"3.54.5"},"reference-count":0,"publisher":"Health Promotion and Chronic Disease Prevention Branch (HPCDP) Public Health Agency of Canada","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Health Promot Chronic Dis Prev Can"],"published-print":{"date-parts":[[2017,4]]},"abstract":"<sec>\n         <title>Introduction<\/title>\n         <p>The Public Health Agency of Canada adapted a Finnish diabetes screening\ntool (FINDRISC) to create a tool (CANRISK) tailored to Canada\u2019s multi-ethnic population.\nCANRISK was developed using data collected in seven Canadian provinces. In\nan effort to extend the applicability of CANRISK to northern territorial populations, we\ncompleted a study with the mainly Inuit population in the Kitikmeot region of Nunavut.<\/p>\n       <\/sec>\n       <sec>\n         <title>Methods<\/title>\n         <p>We obtained CANRISK questionnaires, physical measures and blood samples\nfrom participants in five Nunavut communities in Kitikmeot. We used logistic regression\nto test model fit using the original CANRISK risk factors for dysglycemia (prediabetes\nand diabetes). Dysglycemia was assessed using fasting plasma glucose (FPG) alone\nand\/or oral glucose tolerance test. We generated participants\u2019 CANRISK scores to test\nthe functioning of this tool in the Inuit population.<\/p>\n       <\/sec>\n       <sec>\n         <title>Results<\/title>\n         <p>A total of 303 individuals participated in the study. Half were aged less than\n45 years, two-thirds were female and 84% were Inuit. A total of 18% had prediabetes,\nand an additional 4% had undiagnosed diabetes. The odds of having dysglycemia rose\nexponentially with age, while the relationship with BMI was U-shaped. Compared with\nlab test results, using a cut-off point of 32 the CANRISK tool achieved a sensitivity of\n61%, a specificity of 66%, a positive predictive value of 34% and an accuracy rate of\n65%.<\/p>\n       <\/sec>\n\t   <sec>\n         <title>Conclusion<\/title>\n         <p>The CANRISK tool achieved a similar accuracy in detecting dysglycemia in\nthis mainly Inuit population as it did in a multi-ethnic sample of Canadians. We found\nthe CANRISK tool to be adaptable to the Kitikmeot region, and more generally to\nNunavut.<\/p>\n       <\/sec>","DOI":"10.24095\/hpcdp.37.4.02","type":"journal-article","created":{"date-parts":[[2017,4,10]],"date-time":"2017-04-10T15:02:54Z","timestamp":1491836574000},"page":"114-122","source":"Crossref","is-referenced-by-count":6,"title":["Assessment of dysglycemia risk in the Kitikmeot region of Nunavut: using the CANRISK tool"],"prefix":"10.24095","volume":"37","author":[{"given":"Ying","family":"Jiang","sequence":"first","affiliation":[{"name":"Public Health Agency of Canada, Ottawa, Ontario, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susan","family":"Rogers Van Katwyk","sequence":"additional","affiliation":[{"name":"Public Health Agency of Canada, Ottawa, Ontario, Canada"},{"name":"University of Ottawa, Ottawa, Ontario, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Mao","sequence":"additional","affiliation":[{"name":"Public Health Agency of Canada, Ottawa, Ontario, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heather","family":"Orpana","sequence":"additional","affiliation":[{"name":"Public Health Agency of Canada, Ottawa, Ontario, Canada"},{"name":"University of Ottawa, Ottawa, Ontario, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gina","family":"Agarwal","sequence":"additional","affiliation":[{"name":"Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Margaret","family":"de Groh","sequence":"additional","affiliation":[{"name":"Public Health Agency of Canada, Ottawa, Ontario, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Monique","family":"Skinner","sequence":"additional","affiliation":[{"name":"Kitikmeot Region Health and Social Services, Cambridge Bay, Nunavut, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robyn","family":"Clarke","sequence":"additional","affiliation":[{"name":"Kitikmeot Region Health and Social Services, Cambridge Bay, Nunavut, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Howard","family":"Morrison","sequence":"additional","affiliation":[{"name":"Public Health Agency of Canada, Ottawa, Ontario, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10188","container-title":["Health Promotion and Chronic Disease Prevention in Canada"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.canada.ca\/en\/public-health\/services\/reports-publications\/health-promotion-chronic-disease-prevention-canada-research-policy-practice\/vol-37-no-4-2017\/assessment-dysglycemia-risk-kitikmeot-region-nunavut-using-canrisk-tool.html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,12,6]],"date-time":"2017-12-06T19:41:44Z","timestamp":1512589304000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.canada.ca\/en\/public-health\/services\/reports-publications\/health-promotion-chronic-disease-prevention-canada-research-policy-practice\/vol-37-no-4-2017\/assessment-dysglycemia-risk-kitikmeot-region-nunavut-using-canrisk-tool.html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4]]},"references-count":0,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.24095\/hpcdp.37.4.02","archive":["Internet Archive"],"relation":{},"ISSN":["2368-738X"],"issn-type":[{"value":"2368-738X","type":"print"}],"subject":[],"published":{"date-parts":[[2017,4]]}}}