{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T16:53:53Z","timestamp":1777913633417,"version":"3.51.4"},"reference-count":21,"publisher":"SAGE Publications","issue":"12","license":[{"start":{"date-parts":[[2020,9,10]],"date-time":"2020-09-10T00:00:00Z","timestamp":1599696000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["West J Nurs Res"],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:p>\n                    Approximately 20% of the annual 795,000 stroke occurrences in the United States are fatal, and survivors face high-risk of long-term disability. The purpose of this secondary analysis of a cross-sectional survey data was to explore the association between individuals\u2019 family history of stroke and their stroke risk among Minnesota adults attending the State Fair. The primary study sample (n=207) completed a nine-part survey addressing medical history, stroke risk factor knowledge, and the American Stroke Association stroke risk score. Analysis used descriptive summaries and McNemar\u2019s Chi-square test. McNemar\u2019s test indicated a significant association between family history of stroke and an individual\u2019s stroke risk score ( \u03c7\n                    <jats:sup>2<\/jats:sup>\n                    =38.09, p&lt;.001, (n=194)). Of those with and without family history of stroke, 87.1% and 95.5% correctly identified at least one stroke risk factor, respectively. Implications of this secondary data analysis is for nurses to target high-risk populations using primary prevention strategies to reduce stroke occurrence.\n                  <\/jats:p>","DOI":"10.1177\/0193945920957935","type":"journal-article","created":{"date-parts":[[2020,9,11]],"date-time":"2020-09-11T01:54:36Z","timestamp":1599789276000},"page":"1174-1181","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Association between Family History of Stroke and Stroke Risk: A Community Survey"],"prefix":"10.1177","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8344-0375","authenticated-orcid":false,"given":"Jane","family":"Claeys","sequence":"first","affiliation":[{"name":"School of Nursing, University of Minnesota, Minneapolis, MN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olga","family":"Gurvich","sequence":"additional","affiliation":[{"name":"School of Nursing, University of Minnesota, Minneapolis, MN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Niloufar Niakosari","family":"Hadidi","sequence":"additional","affiliation":[{"name":"School of Nursing, University of Minnesota, Minneapolis, MN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,9,10]]},"reference":[{"key":"bibr1-0193945920957935","doi-asserted-by":"crossref","unstructured":"Albarrac\u00edn D., Gillette J. C., Earl A. N., Glasman L. R., Durantini M. R., Ho M.H. (2005). A test of major assumptions about behavior change: A comprehensive look at the effects of passive and active HIV-prevention interventions since the beginning of the epidemic. Psychological Bulletin, 131(6), 856\u2013897. https:\/\/doi.org\/10.1037\/0033-2909.131.6.856","DOI":"10.1037\/0033-2909.131.6.856"},{"key":"bibr2-0193945920957935","unstructured":"American Stroke Association. (2019). American Stroke Association. https:\/\/www.stroke.org\/"},{"key":"bibr3-0193945920957935","doi-asserted-by":"crossref","unstructured":"Aycock D. M., Kirkendoll K. D., Coleman K. C., Clark P. C., Albright K. C., Alexandrov A. W. (2015). Family history of stroke among African Americans and its association with risk factors, knowledge, perceptions, and exercise. 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