Self-Reported Fatigue Predicts Incident Stroke in a General Population : EPIC-Norfolk Prospective Population-Based Study
| dc.contributor.author | Barlas, Genevieve | |
| dc.contributor.author | Luben, Robert N | |
| dc.contributor.author | Neal, Sam R. | |
| dc.contributor.author | Wareham, Nicholas J. | |
| dc.contributor.author | Khaw, Kay-Tee | |
| dc.contributor.author | Myint, Phyo K | |
| dc.contributor.institution | University of Aberdeen.Medical Education | en |
| dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
| dc.contributor.institution | University of Aberdeen.Institute of Applied Health Sciences | en |
| dc.date.accessioned | 2020-09-03T23:06:50Z | |
| dc.date.available | 2020-09-03T23:06:50Z | |
| dc.date.embargoedUntil | 2020-09-04 | |
| dc.date.issued | 2020-04 | |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 8 | |
| dc.format.extent | 296074 | |
| dc.identifier | 154788144 | |
| dc.identifier | 354efc4d-950d-4e5a-a999-5656d702622c | |
| dc.identifier | 32126943 | |
| dc.identifier | 32126943 | |
| dc.identifier | 000527007500061 | |
| dc.identifier | 85082342400 | |
| dc.identifier.citation | Barlas, G, Luben, R N, Neal, S R, Wareham, N J, Khaw, K-T & Myint, P K 2020, 'Self-Reported Fatigue Predicts Incident Stroke in a General Population : EPIC-Norfolk Prospective Population-Based Study ', Stroke, vol. 51, no. 4, pp. 1077-1084. https://doi.org/10.1161/STROKEAHA.119.027163 | en |
| dc.identifier.doi | 10.1161/STROKEAHA.119.027163 | |
| dc.identifier.iss | 4 | en |
| dc.identifier.issn | 0039-2499 | |
| dc.identifier.other | ORCID: /0000-0003-3852-6158/work/163198813 | |
| dc.identifier.uri | https://hdl.handle.net/2164/15076 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85082342400&partnerID=8YFLogxK | en |
| dc.identifier.url | https://www.ahajournals.org/doi/suppl/10.1161/STROKEAHA.119.027163 | en |
| dc.identifier.vol | 51 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Stroke | en |
| dc.subject | SDG 3 - Good Health and Well-being | en |
| dc.subject | stroke | en |
| dc.subject | fatigue | en |
| dc.subject | psychosocial | en |
| dc.subject | stroke risk factors | en |
| dc.subject | non-traditional risk factors | en |
| dc.subject | risk factors | en |
| dc.subject | R Medicine | en |
| dc.subject | Clinical Neurology | en |
| dc.subject | Cardiology and Cardiovascular Medicine | en |
| dc.subject | Advanced and Specialised Nursing | en |
| dc.subject | Medical Research Council (MRC) | en |
| dc.subject | MR/N003284/1 | en |
| dc.subject | MC-UU_12015/1 | en |
| dc.subject | Cancer Research UK | en |
| dc.subject | C864/A14136 | en |
| dc.subject | Supplementary Data | en |
| dc.subject.lcc | R | en |
| dc.title | Self-Reported Fatigue Predicts Incident Stroke in a General Population : EPIC-Norfolk Prospective Population-Based Study | en |
| dc.type | Journal article | en |
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