{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T16:07:35Z","timestamp":1791216455048,"version":"4.1.0"},"reference-count":21,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"11","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2015,10,29]]},"abstract":"<jats:sec xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              The American Heart Association developed criteria dubbed \u201cLife's Simple 7\u201d defining ideal cardiovascular health: not smoking, regular physical activity, healthy diet, maintaining normal weight, and controlling cholesterol, blood pressure, and blood glucose levels. The impact of achieving these metrics on survival after stroke is unknown. We aimed to determine\n              <jats:styled-content style=\"fixed-case\">cardiovascular<\/jats:styled-content>\n              health scores among stroke survivors in the United States and to assess the link between\n              <jats:styled-content style=\"fixed-case\">cardiovascular<\/jats:styled-content>\n              health score and all\u2010cause mortality after stroke.\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 assessed\n              <jats:styled-content style=\"fixed-case\">cardiovascular<\/jats:styled-content>\n              health metrics among a nationally representative sample of\n              <jats:styled-content style=\"fixed-case\">US<\/jats:styled-content>\n              adults with stroke (n=420) who participated in the National Health and Nutrition Examination Surveys in 1988\u20131994 (with mortality assessment through 2006). We determined cumulative all\u2010cause mortality by\n              <jats:styled-content style=\"fixed-case\">cardiovascular<\/jats:styled-content>\n              health score under the Cox proportional hazards model after adjusting for sociodemographic characteristics and comorbidities. No stroke survivors met\u00a0all 7 ideal health metrics. Over a median duration of 98\u00a0months (range, 53\u2013159), there was an inverse dose\u2010dependent relationship between number of ideal lifestyle metrics met and 10\u2010year adjusted mortality: 0 to 1: 57%; 2: 48%; 3: 43%; 4: 36%; and \u22655: 30%. Those who met \u22654 health metrics had lower all\u2010cause mortality than those who met 0 to 1 (hazard ratio, 0.51; 95% confidence interval, 0.28\u20130.92). After adjusting for sociodemographics, higher health score was associated with lower all\u2010cause mortality (trend\n              <jats:italic>P<\/jats:italic>\n              \u2010value, 0.022).\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              Achieving a greater number of ideal\n              <jats:styled-content style=\"fixed-case\">cardiovascular<\/jats:styled-content>\n              health metrics is associated with lower long\u2010term risk of dying after stroke. Specifically targeting \u201cLife's Simple 7\u201d goals might have a profound impact, extending survival after stroke.\n            <\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.114.001470","type":"journal-article","created":{"date-parts":[[2018,9,14]],"date-time":"2018-09-14T19:46:10Z","timestamp":1536954370000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":71,"title":["\u201cLife's Simple 7\u201d and Long\u2010Term Mortality After Stroke"],"prefix":"10.1161","volume":"4","author":[{"given":"Michelle P.","family":"Lin","sequence":"first","affiliation":[{"name":"Department of Neurology, University of Southern California, Los Angeles, CA"},{"name":"Department of Neurology, Rancho Los Amigos National Rehabilitation Center, Downey, CA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruce","family":"Ovbiagele","sequence":"additional","affiliation":[{"name":"Department of Neurology, Medical University of South Carolina, Charleston, SC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniela","family":"Markovic","sequence":"additional","affiliation":[{"name":"Department of Biomathematics, University of California at Los Angeles, CA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amytis","family":"Towfighi","sequence":"additional","affiliation":[{"name":"Department of Neurology, University of Southern California, Los Angeles, CA"},{"name":"Department of Neurology, Rancho Los Amigos National Rehabilitation Center, Downey, CA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.57.11.2000"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2013.13805"},{"key":"e_1_3_2_4_2","unstructured":"Medical expenditure panel survey: Household component summary data table: Table\u00a04: Total expenses and percent distribution for selected conditions by source of payment: United States 2011. 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