{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T10:28:49Z","timestamp":1770719329169,"version":"3.49.0"},"reference-count":31,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2019,6,10]],"date-time":"2019-06-10T00:00:00Z","timestamp":1560124800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Metabolism Res"],"published-print":{"date-parts":[[2019,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Aim<\/jats:title><jats:p>To investigate whether heart rate variability (HRV) is a predictor for the incidence of diabetes in a 4\u2010year follow\u2010up.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and methods<\/jats:title><jats:p>The HRV of 9192 participants free of diabetes was analysed in time and frequency domains and stratified based on the reference values presented in the literature. The participants were then allocated to one of three groups, according to age\u2010specific value distributions for each HRV domain: lower than the 25<jats:sup>th<\/jats:sup> percentile, between the 25<jats:sup>th<\/jats:sup> and 75<jats:sup>th<\/jats:sup> percentiles, and higher than the 75<jats:sup>th<\/jats:sup> percentile. The association between HRV and diabetes incidence at 4\u2010year follow\u2010up was analysed using Poisson regression models with robust estimator.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Six hundred thirty\u2010four participants (6.90%) developed diabetes within 4\u00a0years and five out of six HRV analysed indices showed increased relative risk of developing diabetes associated with low HRV: SDNN (RR\u00a0=\u00a01.29; 95% CI, 1.09\u20101.52; .003), pNN50 (RR\u00a0=\u00a01.33; 95% CI, 1.11\u20101.58; .001), RMSSD (RR\u00a0=\u00a01.29; 95% CI, 1.09\u20101.53; .004), LF (RR\u00a0=\u00a01.25; 95% CI, 1.05\u20101.48; .012), and HF (RR\u00a0=\u00a01.39; 95% CI, 1.16\u20101.63; .001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>This study suggests that both overall variability and changes in parasympathetic modulation precede the incidence of diabetes. For four HRV indices below the 25<jats:sup>th<\/jats:sup> percentile, the risk for incident diabetes was 68% higher than for those participants who presented none. We concluded that HRV is an independent risk predictor of diabetes in a 4\u2010year period.<\/jats:p><\/jats:sec>","DOI":"10.1002\/dmrr.3175","type":"journal-article","created":{"date-parts":[[2019,5,7]],"date-time":"2019-05-07T00:04:11Z","timestamp":1557187451000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Decreased heart rate variability as a predictor for diabetes\u2014A prospective study of the Brazilian longitudinal study of adult health"],"prefix":"10.1002","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4034-0451","authenticated-orcid":false,"given":"Rosangela A.","family":"Hoshi","sequence":"first","affiliation":[{"name":"Center for Clinical and Epidemiological Research of University Hospital University of Sao Paulo  Sao Paulo SP Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Itamar S.","family":"Santos","sequence":"additional","affiliation":[{"name":"Center 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