{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T19:32:32Z","timestamp":1782934352445,"version":"3.54.5"},"reference-count":16,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"24","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2019,12,17]]},"abstract":"\n Background<\/jats:title>\n \n Mobile health (\n mH<\/jats:styled-content>\n ealth) technologies can deliver interventions to prevent and manage cardiovascular disease (\n CVD<\/jats:styled-content>\n ), but\n mH<\/jats:styled-content>\n ealth uptake among those with or at risk for\n CVD<\/jats:styled-content>\n remains incompletely explored. Therefore, in this group, we assessed the prevalence of\n mH<\/jats:styled-content>\n ealth access and usage, and the association between\n CVD<\/jats:styled-content>\n risk and\n mH<\/jats:styled-content>\n ealth uptake.\n <\/jats:p>\n <\/jats:sec>\n \n Methods and Results<\/jats:title>\n \n Data were from 3248 adults in the 2018 Health Information National Trends Survey. We defined\n CVD<\/jats:styled-content>\n risk as reporting a heart condition, diabetes mellitus, hypertension, and\/or current smoking (n=1903). Multivariable logistic regression, adjusting for demographics, was used to assess the relationship between\n CVD<\/jats:styled-content>\n risk and\n mH<\/jats:styled-content>\n ealth uptake. Most individuals with\n CVD<\/jats:styled-content>\n risk owned a smartphone (73%, 95%\n CI<\/jats:styled-content>\n : 69%\u201376%) and 48% (95%\n CI<\/jats:styled-content>\n : 44%\u201352%) had a health app. Among men, those with\n CVD<\/jats:styled-content>\n risk were more likely to use a wearable device (odds ratio 2.43, 95%\n CI<\/jats:styled-content>\n : 1.44\u20134.10) than those without\n CVD<\/jats:styled-content>\n risk, while there was no difference among women. In both sexes,\n CVD<\/jats:styled-content>\n risk was associated with sharing information from a smartphone\/wearable with a clinician (odds ratio 1.63, 95%\n CI<\/jats:styled-content>\n 1.12\u20132.35 in women; odds ratio 3.99, 95%\n CI<\/jats:styled-content>\n 2.30\u20136.95 in men). However, there was no difference in the odds of using\n mH<\/jats:styled-content>\n ealth to track health progress, make health decisions, aid healthcare discussions, or text a clinician.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n \n In a nationally representative sample, there was high prevalence of smartphone ownership but incomplete\n mH<\/jats:styled-content>\n ealth uptake. Having\n CVD<\/jats:styled-content>\n or its risk factors was associated with sharing information from smartphone\/wearables, suggesting potential to leverage clinically validated\n mH<\/jats:styled-content>\n ealth interventions for\n CVD<\/jats:styled-content>\n prevention.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.1161\/jaha.119.014390","type":"journal-article","created":{"date-parts":[[2019,12,10]],"date-time":"2019-12-10T10:00:37Z","timestamp":1575972037000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":38,"title":["Mobile Health Access and Use Among Individuals With or At Risk for Cardiovascular Disease: 2018 Health Information National Trends Survey (HINTS)"],"prefix":"10.1161","volume":"8","author":[{"given":"Rongzi","family":"Shan","sequence":"first","affiliation":[{"name":"Division of Cardiology Department of Medicine Ciccarone Center for the Prevention of Cardiovascular Disease Johns Hopkins University School of Medicine Baltimore MD"},{"name":"David Geffen School of Medicine at UCLA Los Angeles CA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Ding","sequence":"additional","affiliation":[{"name":"Division of Cardiology Department of Medicine Ciccarone Center for the Prevention of Cardiovascular Disease Johns Hopkins University School of Medicine Baltimore MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy B.","family":"Plante","sequence":"additional","affiliation":[{"name":"Department of Medicine Larner College of Medicine at the University of Vermont Burlington VT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seth S.","family":"Martin","sequence":"additional","affiliation":[{"name":"Division of Cardiology Department of Medicine Ciccarone Center for the Prevention of Cardiovascular Disease Johns Hopkins University School of Medicine Baltimore MD"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1038\/nrcardio.2015.34"},{"key":"e_1_3_1_3_2","unstructured":"Pew Research Center . Demographics of mobile device ownership and adoption in the United States. 2019. Available at: https:\/\/www.pewinternet.org\/fact-sheet\/mobile\/. Accessed June 14 2019."},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ahj.2018.09.002"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1161\/JAHA.115.002239"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjmed.2016.07.029"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2015.10945"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.2337\/dc11-0366"},{"key":"e_1_3_1_9_2","unstructured":"Westat . Health Information National Trends Survey 5 (HINTS 5) Cycle 2 Methodology Report. 2018. Available at: https:\/\/hints.cancer.gov\/docs\/methodologyreports\/HINTS5_Cycle_2_Methodology_Report.pdf. Accessed July 2 2019."},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.cir.0000437741.48606.98"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1995.tb02031.x"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.7953"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-016-0492-7"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.9436"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.2196\/mhealth.4924"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1089\/dia.2018.0369"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2016.0157"}],"container-title":["Journal of the American Heart Association"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ahajournals.org\/doi\/full\/10.1161\/JAHA.119.014390","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T11:28:48Z","timestamp":1715599728000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ahajournals.org\/doi\/10.1161\/JAHA.119.014390"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,17]]},"references-count":16,"journal-issue":{"issue":"24","published-print":{"date-parts":[[2019,12,17]]}},"alternative-id":["10.1161\/JAHA.119.014390"],"URL":"https:\/\/doi.org\/10.1161\/jaha.119.014390","relation":{},"ISSN":["2047-9980"],"issn-type":[{"value":"2047-9980","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12,17]]},"assertion":[{"value":"2019-08-22","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-11-07","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-12-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e014390"}}