Evidence mapPaperPMID 28977340Full record

Trial reportThe journals of gerontology. Series A, Biological sciences and medical sciences2018

Evaluating Accelerometry Thresholds for Detecting Changes in Levels of Moderate Physical Activity and Resulting Major Mobility Disability.

W Jack Rejeski, Michael P Walkup, Roger A Fielding, Abby C King, Todd Manini, Anthony P Marsh, Mary McDermott, Emily Y Miller, Anne B Newman, Catrine Tudor-Locke and 3 more

Open access · bronzeAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The journals of gerontology. Series A, Biological sciences and medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Moderate-intensity exercise reduces osteoporotic fracture risk in older women: a dose-response analysis from a nationwide Korean cohort.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Active-to-Sedentary Behavior Transitions, Fatigability, and Physical Functioning in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Article
  10. Accelerating Accelerometer Research in Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018
    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

13 authors at 8 institutions in 1 country.

W Jack RejeskiDepartment of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina.
Michael P WalkupDepartment of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Roger A FieldingNutrition, Exercise Physiology and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts.
Abby C KingDepartment of Health Research and Policy and Stanford Prevention Research, Palo Alto, California.
Todd ManiniDepartment of Aging and Geriatric Research, University of Florida, Gainesville.
Anthony P MarshDepartment of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina.
Mary McDermottGeneral Internal Medicine and Geriatrics and Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Emily Y MillerDepartment of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Anne B NewmanDepartment of Epidemiology and Medicine, University of Pittsburgh, Pennsylvania.
Catrine Tudor-LockeDepartment of Kinesiology, University of Massachusetts, Amherst.
Robert S AxtellExercise Science Department, Southern Connecticut State University, New Haven.
Michael E MillerDepartment of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
LIFE Study Investigators
Wake Forest University · USNorthwestern University · USSouthern Connecticut State University · USStanford Health Care · USTufts University · USUniversity of Florida · USUniversity of Massachusetts Amherst · USUniversity of Pittsburgh · US

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · WAKE FOREST UNIVERSITY HEALTH SCIENCES · 2002 to 2025
$7.7M
TECHNOLOGY COREP30AG024827 · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2004 to 2025
$4.3M
University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · 2022 to 2025
$4.3M
NHLBI NIH HHS R18 HL076441NIA NIH HHS P30 AG021332NIA NIH HHS P30 AG024827NIA NIH HHS P30 AG028740
6 · The paper itself

Abstract

Background: An important decision with accelerometry is the threshold in counts per minute (CPM) used to define moderate to vigorous physical activity (MVPA). We explore the ability of different thresholds to track changes in MVPA due to a physical activity (PA) intervention among older adults with compromised function: 760 CPM, 1,041 CPM, and an individualized threshold. We also evaluate the ability of change in accelerometry and self-reported PA to attenuate treatment effects on major mobility disability (MMD). Methods: Data from a week of hip worn accelerometers and self-reported PA data (30-day recall) were examined from baseline, 6-, 12-, and 24-months of follow-up on 1,528 older adults. Participants were randomized to either PA or Health Education (HE). MMD was objectively defined by loss of ability to walk 400 m during the follow-up. Results: The three thresholds yielded similar and higher levels of MVPA for PA than HE (p < .001), however, this difference was significantly attenuated in participants with lower levels of physical function. Self-reported PA that captured both walking and strength training totally attenuated the intervention effect for MMD, an 18% reduction to a 3% increase. Accelerometer CPMs showed less attenuation of the intervention effect. Conclusions: Accelerometry assessment within the LIFE study was not sensitive to change in level in physical activity for older adults with very low levels of physical function. A combination of self-report and objective measures are recommended for use in physical activity intervention studies of the elderly; limitations of accelerometry deserve closer attention.

Indexed as

Mobility LimitationAccelerometryAgedAged, 80 and overFemaleGeriatric AssessmentHumansMaleMotor ActivityWalking

Identifiers

PMID28977340
PMCPMC5905614
OpenAlexW2653143650

What Socratic 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 Socratic graph.