{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T22:07:00Z","timestamp":1793830020200,"version":"4.6.1"},"reference-count":27,"publisher":"BMJ","issue":"8","license":[{"start":{"date-parts":[[2021,8,25]],"date-time":"2021-08-25T00:00:00Z","timestamp":1629849600000},"content-version":"unspecified","delay-in-days":24,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2021,7,28]]},"published-print":{"date-parts":[[2021,8]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>The objective was to determine the predictive potential of anthropometric indices to screen prevalent diabetes mellitus type 2 in a Norwegian population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>This is a cross-sectional design to determine the potential association of waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), waist circumference (WC) and body mass index (BMI) with prevalent diabetes mellitus type 2 through logistic regression analysis. Receiver operating characteristic (ROC) curves were used to determine the predictive potential of the anthropometric indices. Youden\u2019s index was applied to determine the optimal cut-off points for each anthropometric index.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>This study used cross-sectional data from the populations-based Health Study in Nord-Tr\u00f8ndelag which invited all citizens in the county above 20 years of age.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants<\/jats:title>\n                    <jats:p>This study included all those who were non-pregnant and had complete data (N=50 042), 98.5% of the participants. The sample is to be considered representative for the population of Norway.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Primary and secondary outcome measures<\/jats:title>\n                    <jats:p>OR and ROC of the potential association between diabetes mellitus type 2 and anthropometric indices were the main planned and performed outcome measures.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The results suggest that the anthropometric indices performed differently within the Norwegian population with WHR and WHtR being the stronger predictor with (ROC) of 0.746 (0.735 to 0.757) and 0.741 (0.730 to 0.752). The predictive potential for the investigated anthropometric indices was generally stronger for women than men.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Anthropometric indices of size BMI and the highly correlated WC are less associated with prevalent diabetes mellitus type 2 than WHR (WC adjusted for hip circumference) or WHtR (WC adjusted for height) in a Norwegian population.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2020-046162","type":"journal-article","created":{"date-parts":[[2021,8,25]],"date-time":"2021-08-25T13:11:30Z","timestamp":1629897090000},"page":"e046162","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":3,"title":["Relevance of anthropometric measurements as predictors of prevalent diabetes type 2: a cross-sectional study on a Norwegian population"],"prefix":"10.1136","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6245-6041","authenticated-orcid":false,"given":"Anton","family":"Hasselgren","sequence":"first","affiliation":[{"name":"Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology Faculty of Medicine and Health Sciences, Trondheim, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Biraj Man","family":"Karmacharya","sequence":"additional","affiliation":[{"name":"Department of Public Health and Community Programs, Dhulikhel Hospital Kathmandu University Hospital, Dhulikhel, Nepal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ann-Katrin","family":"Stensdotter","sequence":"additional","affiliation":[{"name":"Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology Faculty of Medicine and Health Sciences, Trondheim, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2021,8,25]]},"reference":[{"key":"2025121410050618000_11.8.e046162.1","unstructured":"IDF . Diabetes atlas update poster. 9th edn. Brussels, Belgium: International Diabetes Federation, 2019."},{"key":"2025121410050618000_11.8.e046162.2","unstructured":"World Health Organization . Diabetes Country Profiles 2016. [cited 2018 01.05], 2016. Available: http:\/\/www.who.int\/diabetes\/country-profiles\/npl_en.pdf?ua=1"},{"key":"2025121410050618000_11.8.e046162.3","unstructured":"World Health Organization . Global report on diabetes. 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Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia: report of a WHO. WHO, 2006."},{"key":"2025121410050618000_11.8.e046162.15","unstructured":"World Health Organization . Global database on body mass index. [cited 2018 01.05], 2006. Available: http:\/\/www.who.int\/bmi\/index.jsp"},{"key":"2025121410050618000_11.8.e046162.16","doi-asserted-by":"publisher","DOI":"10.1001\/jama.298.22.2654"},{"key":"2025121410050618000_11.8.e046162.17","doi-asserted-by":"publisher","DOI":"10.1002\/bimj.200410135"},{"key":"2025121410050618000_11.8.e046162.18","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-789X.2011.00952.x"},{"key":"2025121410050618000_11.8.e046162.19","unstructured":"Lars Christian Stene, H.S.a.H.L.G . Diabetes in Norway. 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