<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Cohen LP</submitter><funding>Jackson State University</funding><funding>Tougaloo College</funding><funding>University of Mississippi Medical Center</funding><funding>NHLBI NIH HHS</funding><funding>National Heart, Lung, and Blood Institute</funding><funding>NIMHD NIH HHS</funding><funding>Coronary Artery Risk Development in Young Adults Study</funding><funding>Mississippi State Department of Health</funding><funding>National Institutes of Health</funding><funding>NIH HHS</funding><funding>National Institute for Minority Health and Health Disparities</funding><pagination>1181-1188</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9526804</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>34(11)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>The 2017 American College of Cardiology/American Heart Association blood pressure (BP) guideline recommends ambulatory BP monitoring to exclude white coat hypertension (WCH) among adults with office systolic BP (SBP)/diastolic BP (DBP) of 130-159/80-99 mm Hg, and masked hypertension (MHT) among adults with office SBP/DBP of 120-129/75-79 mm Hg after a 3-month trial of lifestyle modification. We estimated the proportion of individuals with ideal lifestyle factors among those who meet these office BP criteria.&lt;h4>Methods&lt;/h4>We analyzed data from participants not taking antihypertensive medication in the Coronary Artery Risk Development in Young Adults (CARDIA) and Jackson Heart Study (JHS) who met the office BP criteria for screening for WCH (CARDIA n = 490, JHS n = 873) and MHT (CARDIA n = 486, JHS n = 614). We estimated the prevalence of lifestyle factors including ideal body mass index (BMI), physical activity, diet, and alcohol use among participants who met office BP criteria for WCH or MHT screening.&lt;h4>Results&lt;/h4>Among participants who met office BP criteria for WCH screening, 15.5% in CARDIA and 3.6% in JHS had 3 or more ideal lifestyle factors. Among participants who met office BP criteria for MHT screening, 22.6% in CARDIA and 4.7% in JHS had 3 or more ideal lifestyle factors. Ideal BMI, diet, and physical activity were present in less than half of participants in each sample.&lt;h4>Conclusions&lt;/h4>Few participants who met office BP criteria for the screening of WCH or MHT had ideal lifestyle factors.</pubmed_abstract><journal>American journal of hypertension</journal><pubmed_title>Lifestyle Behaviors Among Adults Recommended for Ambulatory Blood Pressure Monitoring According to the 2017 ACC/AHA Blood Pressure Guideline.</pubmed_title><pmcid>PMC9526804</pmcid><funding_grant_id>K24-HL125704</funding_grant_id><funding_grant_id>T32-HL007343-38</funding_grant_id><funding_grant_id>R01 HL139716</funding_grant_id><funding_grant_id>R01-HL117323</funding_grant_id><funding_grant_id>HHSN268201800005I</funding_grant_id><funding_grant_id>K01-HL135467</funding_grant_id><funding_grant_id>HHSN268201800015I</funding_grant_id><funding_grant_id>HHSN268201800004I</funding_grant_id><funding_grant_id>R01 HL117323</funding_grant_id><funding_grant_id>HHSN268201800007I</funding_grant_id><funding_grant_id>HHSN268201800006I</funding_grant_id><funding_grant_id>HHSN268201800012I</funding_grant_id><funding_grant_id>HHSN268201800011I</funding_grant_id><funding_grant_id>HHSN268201800003I</funding_grant_id><funding_grant_id>HHSN268201800014I</funding_grant_id><funding_grant_id>HHSN268201800013I</funding_grant_id><funding_grant_id>T32 HL007343</funding_grant_id><funding_grant_id>HHSN268201800010I</funding_grant_id><funding_grant_id>HHSN26800001</funding_grant_id><funding_grant_id>K23 HL141682</funding_grant_id><pubmed_authors>Hardy ST</pubmed_authors><pubmed_authors>Lewis CE</pubmed_authors><pubmed_authors>Muntner P</pubmed_authors><pubmed_authors>Cohen LP</pubmed_authors><pubmed_authors>Sims M</pubmed_authors><pubmed_authors>Hubbard D</pubmed_authors><pubmed_authors>Langford AT</pubmed_authors><pubmed_authors>Colvin CL</pubmed_authors><pubmed_authors>Jaeger BC</pubmed_authors><pubmed_authors>Abdalla M</pubmed_authors><pubmed_authors>Poudel B</pubmed_authors><pubmed_authors>Shimbo D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Lifestyle Behaviors Among Adults Recommended for Ambulatory Blood Pressure Monitoring According to the 2017 ACC/AHA Blood Pressure Guideline.</name><description>&lt;h4>Background&lt;/h4>The 2017 American College of Cardiology/American Heart Association blood pressure (BP) guideline recommends ambulatory BP monitoring to exclude white coat hypertension (WCH) among adults with office systolic BP (SBP)/diastolic BP (DBP) of 130-159/80-99 mm Hg, and masked hypertension (MHT) among adults with office SBP/DBP of 120-129/75-79 mm Hg after a 3-month trial of lifestyle modification. We estimated the proportion of individuals with ideal lifestyle factors among those who meet these office BP criteria.&lt;h4>Methods&lt;/h4>We analyzed data from participants not taking antihypertensive medication in the Coronary Artery Risk Development in Young Adults (CARDIA) and Jackson Heart Study (JHS) who met the office BP criteria for screening for WCH (CARDIA n = 490, JHS n = 873) and MHT (CARDIA n = 486, JHS n = 614). We estimated the prevalence of lifestyle factors including ideal body mass index (BMI), physical activity, diet, and alcohol use among participants who met office BP criteria for WCH or MHT screening.&lt;h4>Results&lt;/h4>Among participants who met office BP criteria for WCH screening, 15.5% in CARDIA and 3.6% in JHS had 3 or more ideal lifestyle factors. Among participants who met office BP criteria for MHT screening, 22.6% in CARDIA and 4.7% in JHS had 3 or more ideal lifestyle factors. Ideal BMI, diet, and physical activity were present in less than half of participants in each sample.&lt;h4>Conclusions&lt;/h4>Few participants who met office BP criteria for the screening of WCH or MHT had ideal lifestyle factors.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Nov</publication><modification>2025-04-21T18:56:43.212Z</modification><creation>2025-04-05T17:25:25.759Z</creation></dates><accession>S-EPMC9526804</accession><cross_references><pubmed>34270687</pubmed><doi>10.1093/ajh/hpab110</doi></cross_references></HashMap>