{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T15:07:26Z","timestamp":1787843246599,"version":"build-2784847793"},"reference-count":50,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T00:00:00Z","timestamp":1742774400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Diabetes Invest"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>With lifestyle changes, the incidence of diabetes has been steadily increasing, and hypertension remains a significant risk factor impacting cardiovascular health. Understanding the potential effects of blood pressure on diabetes risk is, therefore, crucial. This study aims to comprehensively explore the relationship between blood pressure and diabetes risk.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A total of 211,809 individuals undergoing health check\u2010ups were included in this analysis. Participants were divided into four groups based on the quartiles of systolic and diastolic blood pressure, with the primary outcome being the incidence of new\u2010onset diabetes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Over an average follow\u2010up period of 3.1\u2009years (\u00b10.94\u2009years), 3,000 men (1.42%) and 1,173 women (0.55%) were newly diagnosed with diabetes. Multivariable Cox regression analysis demonstrated that blood pressure is an independent predictor of new\u2010onset diabetes (systolic blood pressure HR 1.07 per SD increase, 95% CI: 1.01\u20131.12, <jats:italic>P<\/jats:italic> for trend &lt;0.001; diastolic blood pressure HR 1.11 per SD increase, 95% CI: 1.06\u20131.17, <jats:italic>P<\/jats:italic> for trend 0.001). The optimal cutoff for systolic blood pressure in predicting new\u2010onset diabetes was found to be 123\u2009mmHg (area under the curve 0.7014, sensitivity 0.65, specificity 0.64), which was superior to the predictive efficacy of diastolic blood pressure (area under the curve 0.6645, sensitivity 0.63, specificity 0.62). Subgroup analyses indicated that the risk of blood pressure\u2010related diabetes was significantly higher in middle\u2010aged individuals compared to older adults (<jats:italic>P<\/jats:italic> for interaction &lt;0.05). Additionally, women showed a higher risk of systolic blood pressure\u2010related diabetes than men, and normal\u2010weight individuals exhibited a higher risk than those with obesity (<jats:italic>P<\/jats:italic> for interaction &lt;0.05).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>This cohort study within a Chinese population highlights that, after adjusting for other confounding factors, blood pressure is an independent risk factor for diabetes. This association is particularly pronounced among middle\u2010aged individuals, women, and those of normal weight. Moreover, systolic blood pressure demonstrates superior predictive efficacy for diabetes compared to diastolic blood pressure.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jdi.70029","type":"journal-article","created":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T13:01:51Z","timestamp":1742821311000},"page":"1081-1090","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Blood pressure and the risk of diabetes: A longitudinal observational study based on Chinese individuals"],"prefix":"10.1111","volume":"16","author":[{"given":"Zhiqiang","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Cardiology, Clinical Medical College, Affiliated Hospital of Jining Medical University Jining Medical University  Jining Shandong China"},{"name":"Shandong Provincial Key Medical and Health Discipline of Cardiology Affiliated Hospital of Jining Medical University  Jining Shandong China"},{"name":"Shandong 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