Evidence map›Paper›PMID 27752879›Full record

ArticleJournal of general internal medicine2017

Leisure-Time Physical Activity and Cardiovascular Mortality in an Elderly Population in Northern Manhattan: A Prospective Cohort Study.

Ying Kuen Cheung, Yeseon P Moon, Erin R Kulick, Ralph L Sacco, Mitchell S V Elkind, Joshua Z Willey

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of general internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Ying Kuen CheungDepartment of Biostatistics, Columbia University, New York, NY, USA.
Yeseon P MoonDepartment of Neurology, Columbia University, 710 West 168th street, New York, NY, 10032, USA.
Erin R KulickDepartment of Neurology, Columbia University, 710 West 168th street, New York, NY, 10032, USA.
Ralph L SaccoDepartment of Neurology, University of Miami, New York, NY, USA.
Mitchell S V ElkindDepartment of Neurology, Columbia University, 710 West 168th street, New York, NY, 10032, USA.
Joshua Z WilleyDepartment of Neurology, Columbia University, 710 West 168th street, New York, NY, 10032, USA. jzw2@columbia.edu.
Columbia University · USUniversity of Miami · US

Funding

STROKE INCIDENCE AND RISK FACTORS IN A TRI-ETHNIC REGIONR01NS029993 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ELKIND, MITCHELL S, SACCO, RALPH L. · 1993 to 2019
$19.2M
Physical Activity Patterns via New Dimension-Informative Cluster Models.R01HL111195 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CHEUNG, KEN, ELKIND, MITCHELL S · 2012 to 2015
$1.4M
Neuro-vascular Disease as a Cause of Impaired MobilityK23NS073104 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WILLEY, JOSHUA ZEBADIAH · 2011 to 2015
$940k
NHLBI NIH HHS R01 HL111195NINDS NIH HHS K23 NS073104NINDS NIH HHS R01 NS029993
6 · The paper itself

Abstract

backgroundPrevious studies of exercise have focused on measuring physical activity in totality using summary statistics such as metabolic equivalent score for total intensity or total energy count.

objectiveWe aimed to examine the multidimensionality of leisure-time physical activity (LTPA) and to identify the specific LTPA components that were associated with cardiovascular mortality in the elderly. DESIGN AND

participantsThe Northern Manhattan Study (NOMAS) is a multiethnic prospective cohort of elderly stroke-free individuals consisting of a total of 3298 participants recruited between 1993 and 2001, with a median follow-up of 17 years. MAIN MEASURES: Physical activity questionnaire data were available in 3293 NOMAS participants, who were categorized into subgroups with similar exercise patterns by model-based cluster analysis. Three subgroup-defining LTPA features were identified and were considered as primary exposures in Cox proportional hazard models: frequency of activity, number of activity types (variety), and energy-to-duration ratio (EDR). We considered cardiovascular mortality and non-cardiovascular mortality as outcomes in Cox cause-specific proportional hazard models, and all-cause mortality as outcome in Cox models. KEY

resultsA high activity frequency was associated with reduced cardiovascular mortality (hazard ratio, HR = 0.93, P = 0.03), but demonstrated no effect on non-cardiovascular death. A high EDR was associated with increased risk of cardiovascular death (HR = 1.30, P = 0.01). A high number of activity types was beneficial in reducing all-cause mortality (HR = 0.87, P = 0.01).

conclusionsExercise frequency was protective against cardiovascular mortality, and a high variety of activity was protective against all-cause mortality. The performance of frequent and varied non-intense exercise in an elderly population such as ours is achievable and can reduce the risk of death.

Indexed as

ExerciseLeisure ActivitiesAgedCardiovascular DiseasesComorbidityFemaleHumansLongitudinal StudiesMaleNew York CityProportional Hazards ModelsProspective StudiesRisk FactorsSurveys and Questionnairescardiovascularexercisemortality

Identifiers

PMID27752879
PMCPMC5264679
OpenAlexW2537635748

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.