Evidence map›Paper›PMID 28381510›Full record

ArticleNeurology2017

Physical activity, but not body mass index, predicts less disability before and after stroke.

Pamela M Rist, Benjamin D Capistrant, Elizabeth Rose Mayeda, Sze Y Liu, M Maria Glymour

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.7field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Pamela M RistFrom the Division of Preventive Medicine (P.M.R), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology (P.M.R.) and Social and Behavioral Sciences (M.M.G.), Harvard T. H. Chan School of Public Health, Boston; Harvard Center for Population and Development Studies (S.Y.L.), Harvard University, Cambridge, MA; Division of Epidemiology and Community Health (B.D.C), University of Minnesota, Minneapolis; and Department of Epidemiology and Biostatistics (E.R.M., M.M.G), University of California, San Francisco. prist@mail.harvard.edu.
Benjamin D CapistrantFrom the Division of Preventive Medicine (P.M.R), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology (P.M.R.) and Social and Behavioral Sciences (M.M.G.), Harvard T. H. Chan School of Public Health, Boston; Harvard Center for Population and Development Studies (S.Y.L.), Harvard University, Cambridge, MA; Division of Epidemiology and Community Health (B.D.C), University of Minnesota, Minneapolis; and Department of Epidemiology and Biostatistics (E.R.M., M.M.G), University of California, San Francisco.
Elizabeth Rose MayedaFrom the Division of Preventive Medicine (P.M.R), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology (P.M.R.) and Social and Behavioral Sciences (M.M.G.), Harvard T. H. Chan School of Public Health, Boston; Harvard Center for Population and Development Studies (S.Y.L.), Harvard University, Cambridge, MA; Division of Epidemiology and Community Health (B.D.C), University of Minnesota, Minneapolis; and Department of Epidemiology and Biostatistics (E.R.M., M.M.G), University of California, San Francisco.
Sze Y LiuFrom the Division of Preventive Medicine (P.M.R), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology (P.M.R.) and Social and Behavioral Sciences (M.M.G.), Harvard T. H. Chan School of Public Health, Boston; Harvard Center for Population and Development Studies (S.Y.L.), Harvard University, Cambridge, MA; Division of Epidemiology and Community Health (B.D.C), University of Minnesota, Minneapolis; and Department of Epidemiology and Biostatistics (E.R.M., M.M.G), University of California, San Francisco.
M Maria GlymourFrom the Division of Preventive Medicine (P.M.R), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School; Departments of Epidemiology (P.M.R.) and Social and Behavioral Sciences (M.M.G.), Harvard T. H. Chan School of Public Health, Boston; Harvard Center for Population and Development Studies (S.Y.L.), Harvard University, Cambridge, MA; Division of Epidemiology and Community Health (B.D.C), University of Minnesota, Minneapolis; and Department of Epidemiology and Biostatistics (E.R.M., M.M.G), University of California, San Francisco.
Harvard University · USUniversity of Minnesota · USBrigham and Women's Hospital · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
The Discovering Healthcare Innovations to Address Disparties in Stroke (DIADS) prU54NS081760 · NINDS · KAISER FOUNDATION RESEARCH INSTITUTE · PI BIBBINS-DOMINGO, KIRSTEN · 2012 to 2016
$10.5M
Effects of Vitamin D and Omega-3 on Cerebrovascular DiseaseK01HL128791 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI RIST, PAMELA M. · 2016 to 2020
$858k
Functional Impairment from Stroke: an Exploratory Study of DisparitiesR21AG034385 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI GLYMOUR, MEDELLENA MARIA · 2010 to 2011
$352k
Racial Disparities in Alzheimer's Disease and Related Dementias: The Role of Blood Pressure Throughout AdulthoodK99AG053410 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAYEDA, ELIZABETH ROSE · 2016 to 2017
$253k
NHLBI NIH HHS K01 HL128791NIA NIH HHS K99 AG053410NIA NIH HHS R21 AG034385NIA NIH HHS U01 AG009740NINDS NIH HHS U54 NS081760
6 · The paper itself

Abstract

objectiveTo determine whether physical activity and body mass index (BMI) predict instrumental or basic activities of daily living (I/ADL) trajectories before or after stroke compared to individuals who remained stroke-free.

methodsUsing a prospective cohort, the Health and Retirement Study, we followed adults without a history of stroke in 1998 (n = 18,117) for up to 14 years. We estimated linear regression models of I/ADL trajectories comparing individuals who remained stroke-free throughout follow-up (n = 16,264), those who survived stroke (n = 1,374), and those who died after stroke and before the next interview wave (n = 479). We evaluated whether I/ADL trajectories differed by physical activity or BMI at baseline (before stroke), adjusting for demographic and socioeconomic covariates.

resultsCompared to those who were physically active, stroke survivors who were physically inactive at baseline had a lower probability of independence in ADLs and IADLs 3 years after stroke (risk difference = -0.18 and -0.16 for ADLs and IADLs, respectively). However, a similar difference in the probability of independence was also present 3 years before stroke, and we observed no evidence that physical activity slowed the rate of decline in independence before or after stroke. Unlike the results for physical activity, we did not observe a consistent pattern for the probability of independence in ADLs or IADLs comparing obese stroke survivors to normal-weight or to overweight stroke survivors 3 years before stroke or 3 years after stroke.

conclusionsPhysical inactivity predicts a higher risk of being dependent both before and after stroke.

Indexed as

Activities of Daily LivingBody Mass IndexExerciseAgedAged, 80 and overFemaleFollow-Up StudiesHumansLinear ModelsMaleProbabilityPrognosisProspective StudiesRiskSelf ReportSocioeconomic Factors

Identifiers

PMID28381510
PMCPMC5409841
OpenAlexW2604362465

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.