Sex Differences in Long-Term Quality of Life Among Survivors After Stroke in the INSTRUCT

Author:

Phan Hoang T.12,Blizzard Christopher L.1,Reeves Mathew J.3,Thrift Amanda G.4,Cadilhac Dominique A.45,Sturm Jonathan6,Heeley Emma7,Otahal Petr1,Rothwell Peter8,Anderson Craig S.7,Parmar Priya9,Krishnamurthi Rita9,Barker-Collo Suzanne10,Feigin Valery9,Gall Seana1

Affiliation:

1. From the Menzies Institute for Medical Research Tasmania, University of Tasmania, Hobart, Australia (H.T.P., C.L.B., P.O., S.G.)

2. Department of Health Management and Health Economics, Pham Ngoc Thach University of Medicine, HoChiMinh City, Vietnam (H.T.P.)

3. Department of Epidemiology and Biostatistics, Michigan State University, East Lansing (M.J.R.)

4. Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia (A.G.T., D.A.C.)

5. Florey Institute Neuroscience and Mental Health, Heidelberg, University of Melbourne, Victoria, Australia (D.A.C.)

6. Faculty of Health and Medicine, University of Newcastle, NSW, Australia (J.S.)

7. George Institute for Global Health, University of Sydney, NSW, Australia (E.H., C.S.A.)

8. Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, United Kingdom (P.R.)

9. National Institute for Stroke and Applied Neurosciences, School of Public Health and Psychosocial Studies, Auckland University of Technology, New Zealand (P.P., R.K., V.F.)

10. School of Psychology, University of Auckland, New Zealand (S.B.-C.).

Abstract

Background and Purpose— Women are reported to have poorer health-related quality of life (HRQoL) after stroke than men, but the underlying reasons are uncertain. We investigated factors contributing to the sex differences. Methods— Individual participant data on 4288 first-ever strokes (1996–2013) were obtained from 4 high-quality population-based incidence studies from Australasia and Europe. HRQoL utility scores among survivors after stroke (range from negative scores=worse than death to 1=perfect health) were calculated from 3 scales including European Quality of Life-5 Dimensions, Short-Form 6-Dimension, and Assessment of Quality of Life at 1 year (3 studies; n=1210) and 5 years (3 studies; n=1057). Quantile regression was used to estimate the median differences in HRQoL for women compared to men with adjustment for covariates. Study factors included sociodemographics, prestroke dependency, stroke-related factors (eg, stroke severity), comorbidities, and poststroke depression. Study-specific median differences were combined into pooled estimates using random-effect meta-analysis. Results— Women had lower pooled HRQoL than men (median difference unadjusted 1 year, −0.147; 95% CI, −0.258 to −0.036; 5 years, −0.090; 95% CI, −0.119 to −0.062). After adjustment for age, stroke severity, prestroke dependency, and depression, these pooled median differences were attenuated, more greatly at 1 year (−0.067; 95% CI, −0.111 to −0.022) than at 5 years (−0.085; 95% CI, −0.135 to −0.034). Conclusions— Women consistently exhibited poorer HRQoL after stroke than men. This was partly attributable to women’s advanced age, more severe strokes, prestroke dependency, and poststroke depression, suggesting targets to reduce the differences. There was some evidence of residual differences in HRQoL between sexes but they were small and unlikely to be clinically significant.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

Reference33 articles.

1. Burden of stroke in women

2. Sex Differences in Long-Term Outcomes After Stroke

3. Focused Update of Sex Differences in Patient Reported Outcome Measures After Stroke

4. Case ascertainment in stroke studies: the risk of selection bias

5. Sex differences in long-term mortality after stroke in the INSTRUCT (INternational STRoke oUtComes sTudy). A meta-analysis of individual participant data.;Phan HT;Circ Cardiovasc Qual Outcomes,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3