{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T17:18:53Z","timestamp":1789751933139,"version":"4.0.1"},"reference-count":39,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"2","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2020,1,21]]},"abstract":"<jats:sec xml:lang=\"en\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p xml:lang=\"en\">\n                      Nocturnal hypertension, defined by a mean asleep systolic blood pressure (SBP)\/diastolic blood pressure (BP) \u2265120\/70\u00a0mm\u00a0Hg, and nondipping\n                      <jats:styled-content style=\"fixed-case\">SBP<\/jats:styled-content>\n                      , defined by an awake\u2010to\u2010asleep decline in\n                      <jats:styled-content style=\"fixed-case\">SBP<\/jats:styled-content>\n                      &lt;10%, are each associated with increased risk for cardiovascular disease.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Methods and Results<\/jats:title>\n                    <jats:p xml:lang=\"en\">\n                      We developed predictive equations to identify adults with a high probability of having nocturnal hypertension or nondipping\n                      <jats:styled-content style=\"fixed-case\">SBP<\/jats:styled-content>\n                      using data from the CARDIA (Coronary Artery Risk Development in Young Adults) study (n=787), JHS (Jackson Heart Study) (n=1063), IDH (Improving the Detection of Hypertension) study (n=395), and MHT (Masked Hypertension) study (n=772) who underwent 24\u2010hour ambulatory BP monitoring. Participants were randomized to derivation (n=2511) or validation (n=506) data sets. The prevalence rates of nocturnal hypertension and nondipping\n                      <jats:styled-content style=\"fixed-case\">SBP<\/jats:styled-content>\n                      were 39.7% and 44.9% in the derivation data set, respectively, and 36.6% and 44.5% in the validation data set, respectively. The predictive equation\u00a0for nocturnal hypertension included age, race\/ethnicity, smoking status, neck circumference, height, high\u2010density lipoprotein cholesterol, albumin\/creatinine ratio, and clinic\n                      <jats:styled-content style=\"fixed-case\">SBP<\/jats:styled-content>\n                      and diastolic BP. The predictive equation\u00a0for nondipping\n                      <jats:styled-content style=\"fixed-case\">SBP<\/jats:styled-content>\n                      included age, sex, race\/ethnicity, waist circumference, height, alcohol use, high\u2010density lipoprotein cholesterol, and albumin\/creatinine ratio. Concordance statistics (95% CI) for nocturnal hypertension and nondipping\n                      <jats:styled-content style=\"fixed-case\">SBP<\/jats:styled-content>\n                      predictive equations in the validation data set were 0.84 (0.80\u20130.87) and 0.73 (0.69\u20130.78), respectively. Compared with reference models including antihypertensive medication use and clinic\n                      <jats:styled-content style=\"fixed-case\">SBP<\/jats:styled-content>\n                      and diastolic BP as predictors, the continuous net reclassification improvement (95% CI) values for the nocturnal hypertension and nondipping\n                      <jats:styled-content style=\"fixed-case\">SBP<\/jats:styled-content>\n                      predictive equations were 0.52 (0.35\u20130.69) and 0.51 (0.34\u20130.69), respectively.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">\n                      These predictive equations can direct ambulatory BP monitoring toward adults with high probability of having nocturnal hypertension and nondipping\n                      <jats:styled-content style=\"fixed-case\">SBP<\/jats:styled-content>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/jaha.119.013696","type":"journal-article","created":{"date-parts":[[2020,1,9]],"date-time":"2020-01-09T05:00:44Z","timestamp":1578546044000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":14,"title":["Development of Predictive Equations for Nocturnal Hypertension and Nondipping Systolic Blood Pressure"],"prefix":"10.1161","volume":"9","author":[{"given":"Byron C.","family":"Jaeger","sequence":"first","affiliation":[{"name":"Department of Biostatistics University of Alabama at Birmingham AL"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"III","given":"John N.","family":"Booth","sequence":"additional","affiliation":[{"name":"Department of Epidemiology University of Alabama at Birmingham 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