{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T10:26:54Z","timestamp":1789986414337,"version":"4.0.1"},"reference-count":21,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2018,3,6]],"date-time":"2018-03-06T00:00:00Z","timestamp":1520294400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["16H05251"],"award-info":[{"award-number":["16H05251"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012319","name":"National Center for Global Health and Medicine","doi-asserted-by":"publisher","award":["28\u2010Shi\u20101206"],"award-info":[{"award-number":["28\u2010Shi\u20101206"]}],"id":[{"id":"10.13039\/100012319","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J of Diabetes Invest"],"published-print":{"date-parts":[[2018,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Aims\/Introduction<\/jats:title><jats:p>We previously developed a 3\u2010year diabetes risk score in the working population. The objective of the present study was to develop and validate flexible risk models that can predict the risk of diabetes for any arbitrary time\u2010point during 7 years.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>The participants were 46,198 Japanese employees aged 30\u201359 years, without diabetes at baseline and with a maximum follow\u2010up period of 8 years. Incident diabetes was defined according to the American Diabetes Association criteria. With routine health checkup data (age, sex, abdominal obesity, body mass index, smoking status, hypertension status, dyslipidemia, glycated hemoglobin and fasting plasma glucose), we developed non\u2010invasive and invasive risk models based on the Cox proportional hazards regression model among a random two\u2010thirds of the participants, and used another one\u2010third for validation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The range of the area under the receiver operating characteristic curve increased from 0.73 (95% confidence interval 0.72\u20130.74) for the non\u2010invasive prediction model to 0.89 (95% confidence interval 0.89\u20130.90) for the invasive prediction model containing dyslipidemia, glycated hemoglobin and fasting plasma glucose. The invasive models showed improved integrated discrimination and reclassification performance, as compared with the non\u2010invasive model. Calibration appeared good between the predicted and observed risks. These models performed well in the validation cohort.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The present non\u2010invasive and invasive models for the prediction of diabetes risk up to 7 years showed fair and excellent performance, respectively. The invasive models can be used to identify high\u2010risk individuals, who would benefit greatly from lifestyle modification for the prevention or delay of diabetes.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jdi.12809","type":"journal-article","created":{"date-parts":[[2018,1,30]],"date-time":"2018-01-30T08:02:34Z","timestamp":1517299354000},"page":"1052-1059","source":"Crossref","is-referenced-by-count":18,"title":["Development and validation of risk models to predict the 7\u2010year risk of type 2 diabetes: The Japan Epidemiology Collaboration on Occupational Health Study"],"prefix":"10.1111","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8558-2895","authenticated-orcid":false,"given":"Huanhuan","family":"Hu","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Prevention National Center for Global Health and Medicine Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tohru","family":"Nakagawa","sequence":"additional","affiliation":[{"name":"Hitachi, Ltd. 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