Evidence map›Paper›PMID 29762655›Full record

ArticleAmerican journal of epidemiology2018

Longitudinal Patterns of Physical Activity Among Older Adults: A Latent Transition Analysis.

Stephen J Mooney, Spruha Joshi, Magdalena Cerdá, Gary J Kennedy, John R Beard, Andrew G Rundle

Abstract read
In one paragraph

Article in American journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Stephen J MooneyHarborview Injury Prevention & Research Center, University of Washington, Seattle, Washington.
Spruha JoshiDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota.
Magdalena CerdáDepartment of Emergency Medicine, School of Medicine, University of California, Davis and UC Davis Health System, Davis, California.
Gary J KennedyAlbert Einstein College of Medicine, New York, New York.
John R BeardDepartment of Ageing and Life Course, World Health Organization, Geneva, Switzerland.
Andrew G RundleDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.

Funding

Pediatric Injury Research Training ProgramT32HD057822 · NICHD · UNIVERSITY OF WASHINGTON · PI CAROLYN A MC CARTY, Ali Rowhani-Rahbar · 2010 to 2026
$4.0M
Risk for Depression, Neighborhood Characteristics, and Physical ActivityR01MH085132 · NIMH · NEW YORK ACADEMY OF MEDICINE · PI BEARD, JOHN · 2010 to 2014
$3.1M
NICHD NIH HHS T32 HD057822NIMH NIH HHS R01 MH085132World Health Organization 001
6 · The paper itself

Abstract

Most epidemiologic studies of physical activity measure either total energy expenditure or engagement in a single type of activity, such as walking. These approaches may gloss over important nuances in activity patterns. We performed a latent transition analysis to identify patterns of activity, as well as neighborhood and individual determinants of changes in those activity patterns, over 2 years in a cohort of 2,023 older adult residents of New York, New York, surveyed between 2011 and 2013. We identified 7 latent classes: 1) mostly inactive, 2) walking, 3) exercise, 4) household activities and walking, 5) household activities and exercise, 6) gardening and household activities, and 7) gardening, household activities, and exercise. The majority of subjects retained the same activity patterns between waves (54% unchanged between waves 1 and 2, 66% unchanged between waves 2 and 3). Most latent class transitions were between classes distinguished only by 1 form of activity, and only neighborhood unemployment was consistently associated with changing between activity latent classes. Future latent transition analyses of physical activity would benefit from larger cohorts and longer follow-up periods to assess predictors of and long-term impacts of changes in activity patterns.

Indexed as

ExerciseActivities of Daily LivingAgedFemaleGardeningGeriatric AssessmentHumansLatent Class AnalysisLongitudinal StudiesMaleNew York CityResidence CharacteristicsSedentary BehaviorSurveys and Questionnaires

Identifiers

PMID29762655
PMCPMC6030961

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.