{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T17:18:40Z","timestamp":1788542320204,"version":"build-2803163510"},"reference-count":36,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2018,3,31]],"date-time":"2018-03-31T00:00:00Z","timestamp":1522454400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Japan Health Promotion Foundation"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Clinical Hypertension"],"published-print":{"date-parts":[[2018,5]]},"abstract":"\n No integrated risk assessment tools that include lifestyle factors and uric acid have been developed. In accordance with the Industrial Safety and Health Law in Japan, a follow\u2010up examination of 63\u00a0495 normotensive individuals (mean age 42.8\u00a0years) who underwent a health checkup in 2010 was conducted every year for 5\u00a0years. The primary endpoint was new\u2010onset hypertension (systolic blood pressure [\n SBP<\/jats:styled-content>\n ]\/diastolic blood pressure [\n DBP<\/jats:styled-content>\n ] \u2265\u00a0140\/90\u00a0mm Hg and\/or the initiation of antihypertensive medications with self\u2010reported hypertension). During the mean 3.4 years of follow\u2010up, 7402 participants (11.7%) developed hypertension. The prediction model included age, sex, body mass index (\n BMI<\/jats:styled-content>\n ),\n SBP<\/jats:styled-content>\n ,\n DBP<\/jats:styled-content>\n , low\u2010density lipoprotein cholesterol, uric acid, proteinuria, current smoking, alcohol intake, eating rate,\n DBP<\/jats:styled-content>\n by age, and\n BMI<\/jats:styled-content>\n by age at baseline and was created by using Cox proportional hazards models to calculate 3\u2010year absolute risks. The derivation analysis confirmed that the model performed well both with respect to discrimination and calibration (n\u00a0=\u00a063\u00a0495; C\u2010statistic\u00a0=\u00a00.885, 95% confidence interval [\n CI<\/jats:styled-content>\n ], 0.865\u20100.903; \u03c7\n 2<\/jats:sup>\n statistic\u00a0=\u00a013.6, degree of freedom [\n df<\/jats:italic>\n ]\u00a0=\u00a07). In the external validation analysis, moreover, the model performed well both in its discrimination and calibration characteristics (n\u00a0=\u00a014\u00a0168; C\u2010statistic\u00a0=\u00a00.846; 95%\n CI<\/jats:styled-content>\n , 0.775\u20100.905; \u03c7\n 2<\/jats:sup>\n statistic\u00a0=\u00a08.7,\n df<\/jats:italic>\n \u00a0=\u00a07). Adding\n LDL<\/jats:styled-content>\n cholesterol, uric acid, proteinuria, alcohol intake, eating rate, and\n BMI<\/jats:styled-content>\n by age to the base model yielded a significantly higher C\u2010statistic, net reclassification improvement (\n NRI<\/jats:styled-content>\n ), and integrated discrimination improvement, especially\n NRI<\/jats:styled-content>\n non\u2010event<\/jats:sub>\n (\n NRI<\/jats:styled-content>\n \u00a0=\u00a00.127, 95%\n CI<\/jats:styled-content>\n \u00a0=\u00a00.100\u20100.152;\n NRI<\/jats:styled-content>\n non\u2010event\u00a0<\/jats:sub>\n =\u00a00.108, 95%\n CI<\/jats:styled-content>\n \u00a0=\u00a00.102\u20100.117). In conclusion, a highly precise model with good performance was developed for predicting incident hypertension using the new parameters of eating rate, uric acid, proteinuria, and\n BMI<\/jats:styled-content>\n by age.\n <\/jats:p>","DOI":"10.1111\/jch.13270","type":"journal-article","created":{"date-parts":[[2018,3,31]],"date-time":"2018-03-31T11:49:09Z","timestamp":1522496949000},"page":"880-890","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Developing and validating a new precise risk\u2010prediction model for new\u2010onset hypertension: The Jichi Genki hypertension prediction model (\n JG<\/scp>\n model)"],"prefix":"10.1111","volume":"20","author":[{"given":"Hiroshi","family":"Kanegae","sequence":"first","affiliation":[{"name":"Genki Plaza Medical Center for Health Care Tokyo Japan"},{"name":"Division of Cardiovascular Medicine Department of Medicine Jichi Medical University School of Medicine Tochigi Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takamitsu","family":"Oikawa","sequence":"additional","affiliation":[{"name":"Genki Plaza Medical Center for Health Care Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenji","family":"Suzuki","sequence":"additional","affiliation":[{"name":"The Japan Health Promotion Foundation Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yukie","family":"Okawara","sequence":"additional","affiliation":[{"name":"Division of Cardiovascular Medicine Department of Medicine Jichi Medical University School of Medicine Tochigi Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8251-4480","authenticated-orcid":false,"given":"Kazuomi","family":"Kario","sequence":"additional","affiliation":[{"name":"Division of Cardiovascular Medicine Department of Medicine Jichi Medical University School of Medicine Tochigi Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,3,31]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"World Health Organization.Global status report on noncommunicable diseases 2010.http:\/\/www.who.int\/nmh\/publications\/ncd_report2010\/en\/. 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