Evidence map›Paper›PMID 30778518›Full record

Trial reportThe journals of gerontology. Series A, Biological sciences and medical sciences2019

A Case for Promoting Movement Medicine: Preventing Disability in the LIFE Randomized Controlled Trial.

Jason Fanning, W Jack Rejeski, Shyh-Huei Chen, Barbara J Nicklas, Michael P Walkup, Robert S Axtell, Roger A Fielding, Nancy W Glynn, Abby C King, Todd M Manini and 6 more

Registry-linked trialOpen access · bronzeAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The journals of gerontology. Series A, Biological sciences and medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01072500 (The LIFE Study - Lifestyle Interventions and Independence for Elders), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 21% 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.

NCT01072500 phase3completednot on this map

The LIFE Study - Lifestyle Interventions and Independence for Elders

TypeinterventionalSponsorUniversity of FloridaRan2010 to 2014Enrolled1,635ConditionsSedentary Lifestyle, Risk of Disability, AgingArmsPhysical Activity, Successful Aging
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Automated Muscle Measurement on Chest CT Predicts All-Cause Mortality in Older Adults From the National Lung Screening Trial.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Trial
  4. Trial
  5. Trial
  6. Article
  7. Review
  8. Calorie Restriction and Aging in Humans.Annual review of nutrition · 2020
    Article
  9. Review
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

16 authors at 9 institutions in 1 country.

Jason FanningDepartment of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina.
W Jack RejeskiDepartment of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina.
Shyh-Huei ChenDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Barbara J NicklasDepartment of internal medicine, section on gerontology and geriatric medicine, Winston-Salem, North Carolina.
Michael P WalkupDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Robert S AxtellDepartment of Exercise Science, Southern Connecticut State University, New Haven.
Roger A FieldingJean Mayer USDA Human Nutrition Research Center on Aging, Nutrition, Exercise Physiology and Sarcopenia Laboratory, Tufts University, Boston, Massachusetts.
Nancy W GlynnDepartment of epidemiology, University of Pittsburgh, Pennsylvania.
Abby C KingDepartment of Health Research and Policy and Stanford Prevention Research Center, Palo Alto, California.
Todd M ManiniDepartment of Aging and Geriatric Research, University of Florida, Gainesville.
Mary M McDermottDevision of General Internal medicine and Geriatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Anne B NewmanDepartment Epidemiology and Medicine, University of Pittsburgh, Pennsylvania.
Marco PahorDepartment of Aging and Geriatric Research, University of Florida, Gainesville.
Catrine Tudor-LockeDepartment of Kinesiology, University of Massachusetts Amherst, Amherst, Massachusetts.
Michael E MillerDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina.
LIFE Study Investigators
Wake Forest University · USUniversity of Florida · USUniversity of Pittsburgh · USWinston-Salem/Forsyth County Schools · USNorthwestern University · USSouthern Connecticut State University · USStanford Health Care · USTufts University · USUniversity of Massachusetts Amherst · US

Funding

UF FIELD CENTERU01AG022376 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI PAHOR, MARCO · 2003 to 2015
$83.3M
Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Denise Kathryn Houston · 2002 to 2026
$36.4M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI Peihua Qiu · 2007 to 2026
$22.8M
Translational Training in Aging and Alzheimer’s Disease Related DisordersT32AG033534 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI STEPHEN B. KRITCHEVSKY · 2009 to 2026
$3.6M
NIA NIH HHS P30 AG021332NIA NIH HHS P30 AG024827NIA NIH HHS P30 AG028740NIA NIH HHS T32 AG033534NIA NIH HHS U01 AG022376
6 · The paper itself

Abstract

backgroundThe movement profile of older adults with compromised function is unknown, as is the relationship between these profiles and the development of major mobility disability (MMD)-a critical clinical outcome. We first describe the dimensions of movement in older adults with compromised function and then examine whether these dimensions predict the onset of MMD.

methodsOlder adults at risk for MMD (N = 1,022, mean age = 78.7 years) were randomized to receive a structured physical activity intervention or health education control. We assessed MMD in 6-month intervals (average follow-up of 2.2 years until incident MMD), with activity assessed at baseline, 6-, 12- and 24-month follow-up via accelerometry.

resultsA principal components analysis of 11 accelerometer-derived metrics yielded three components representing lifestyle movement (LM), extended bouts of moderate-to-vigorous physical activity (MVPA), and stationary body posture. LM accounted for the greatest proportion of variance in movement (53%). Within health education, both baseline LM (HR = 0.74; 95% CI 0.62 to 0.88) and moderate-to-vigorous physical activity (HR = 0.69; 95% CI 0.54 to 0.87) were associated with MMD, whereas only LM was associated with MMD within physical activity (HR = 0.74; 95% CI 0.61 to 0.89). There were similar nonlinear relationships present for LM in both physical activity and health education (p < .04), whereby risk for MMD was lower among individuals with higher levels of LM.

conclusionsBoth LM and moderate-to-vigorous physical activity should be central in treatment regimens for older adults at risk for MMD.

trial registrationclinicaltrials.gov Identifier NCT01072500.

Indexed as

Disability EvaluationMobility LimitationPhysical FitnessAccelerationAgedAged, 80 and overAge FactorsAgingConfidence IntervalsFemaleGeriatric AssessmentHumansLinear ModelsMalePrognosisSex FactorsAccelerometryDisabilityExercisePhysical activitySedentary

Identifiers

PMID30778518
PMCPMC6777081
OpenAlexW2915074257

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.