Evidence map›Paper›PMID 30742870›Full record

ArticlePreventive medicine2019

Physical activity trajectories and subsequent fall risk: ARIC Study.

Kelley Pettee Gabriel, Michael E Griswold, Wanmei Wang, Sadie H Conway, B Gwen Windham, Priya Palta, Anna Kucharska-Newton, Lisa A Pompeii

Abstract readComparative Study
In one paragraph

Article in Preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Article
  6. Article
  7. Article
  8. Trajectory of physical activity frequency and cancer risk: Findings from a population-based cohort study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2023
    Article
  9. Article
  10. Distinct physical activity and sedentary behavior trajectories in older adults during participation in a physical activity intervention: a latent class growth analysis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2022
    Article
  11. Article
  12. Article
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

8 authors at 5 institutions in 1 country.

Kelley Pettee GabrielUTHealth School of Public Health - Austin Campus, Department of Epidemiology, Human Genetics, and Environmental Sciences, Austin, TX, USA; The University of Texas at Austin, Dell Medical School, Department of Women's Health, Austin, TX, USA; The University of Texas at Austin, Department of Kinesiology and Health Education, Austin, TX, USA. Electronic address: Kelley.P.Gabriel@uth.tmc.edu.
Michael E GriswoldThe University of Mississippi Medical Center, Department of Data Science, Jackson, MS, USA.
Wanmei WangThe University of Mississippi Medical Center, Department of Data Science, Jackson, MS, USA.
Sadie H ConwayUTHealth School of Public Health, Department of Epidemiology, Human Genetics, and Environmental Sciences, Houston, TX, USA.
B Gwen WindhamThe University of Mississippi Medical Center, Department of Medicine, Division of Geriatrics, Jackson, MS, USA.
Priya PaltaColumbia University, Department of Medicine, Division of General Medicine, New York, NY, USA.
Anna Kucharska-NewtonUniversity of North Carolina at Chapel Hill, Department of Epidemiology, Chapel Hill, NC, USA.
Lisa A PompeiiBaylor College of Medicine, Department of Pediatrics, Center for Epidemiology & Population Health, Houston, TX USA.
Jackson Memorial Hospital · USUniversity of Texas Health Science Center at Dallas · USBaylor College of Medicine · USColumbia University · USUniversity of North Carolina at Chapel Hill · US

Funding

ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2 of 5U01HL096917 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI MOSLEY, THOMAS H · 2010 to 2018
$11.9M
ARIC Neurocognitive Study (ARIC-NCS) Renewal UNC 4 of 5U01HL096899 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID J · 2010 to 2018
$7.5M
ARIC Neurocognitive Study (ARIC-NCS)U01HL096902 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2010 to 2018
$7.4M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 4 of 5U01HL096814 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGHES, TIMOTHY M., WAGENKNECHT, LYNNE E · 2010 to 2018
$6.5M
The Associations of Mid- and Late-Life Physical Activity on Falls in a Large Prospective Study of Older AdultsR56AG049886 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI GABRIEL, KELLEY PETTEE, POMPEII, LISA A · 2015 to 2015
$542k
Physical Activity and Preservation of Cognitive FunctionK99AG052830 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PALTA, PRIYA · 2016 to 2017
$151k
NHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096899NHLBI NIH HHS U01 HL096902NHLBI NIH HHS U01 HL096917NIA NIH HHS K99 AG052830NIA NIH HHS R56 AG049886
6 · The paper itself

Abstract

To examine the impact of moderate to vigorous intensity physical activity (MVPA) trajectories during midlife and older adulthood with subsequent fall risk in later life. Cross-temporal analyses were conducted in 15,792 participants (27% black, 55% women) aged 45 to 64 years enrolled in the Atherosclerosis Risk in Communities (ARIC) Study. MVPA was collected at Exams 1 (1987-89), 3 (1993-95) and 5 (2011-13) using the ARIC/Baecke questionnaire. Latent class growth analysis was used to identify the MVPA trajectory groups. Reported falls outcomes were collected in 2013-14, 2015-16, and 2016-17. Generalized Linear Models were used to estimate associations of baseline predictors with trajectory class membership, as well as associations of trajectory classes with any falling (adjusted incident relative risks, aIRR) and with number of falls (adjusted relative rates, aRR). Four primary trajectory classes emerged, reflecting longitudinal patterns of maintained high (48%), maintained low (22%), increasing (14%) and decreasing (15%) MVPA. After adjustment for covariates, the decreasing MVPA trajectory group had a 14% higher risk of reporting any falling compared to the maintained high MVPA group [aIRR = 1.14 (1.01, 1.28)]. When compared to the maintained high MVPA group, the maintained low and decreasing group had a 28% [aRR = 1.28 (1.14, 1.44)] and 27% [aRR = 1.27 (1.17, 1.38)] higher rate in the reported number of falls, respectively. Findings support public health campaigns targeting habitual MVPA or exercise for fall prevention and suggest that interventions should be initiated in midlife; a time when individuals may be more able and willing to change behavior.

Indexed as

ExerciseAccidental FallsFemaleHumansLinear ModelsMaleMiddle AgedRisk FactorsSurveys and QuestionnairesUnited StatesCohort studyExerciseFallsMidlife

Identifiers

PMID30742870
PMCPMC6448408
OpenAlexW2914060458

What OpenQuestion holds

Textmetadata
LicenceTDM
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.