Evidence map›Paper›PMID 24765212›Full record

ReviewEuropean review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity2014

Accelerometry analysis of physical activity and sedentary behavior in older adults: a systematic review and data analysis.

E Gorman, H M Hanson, P H Yang, K M Khan, T Liu-Ambrose, M C Ashe

Registry-linked trialAbstract readReview
In one paragraph

Review in European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05459896 (A Health Apps for Post-Pandemic Years), which is not on this map. Cited by 172 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed, 9 pooled it
–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.

NCT05459896 narecruitingnot on this mapstarted 2024, after this paper: background citation

A Health Apps for Post-Pandemic Years (HAPPY) for People With Physiological and Psychosocial Distress During the Post-Pandemic Era

TypeinterventionalSponsorThe Hong Kong Polytechnic UniversityRan2024 to 2026Enrolled814ConditionsPhysiological Stress, Psychological Distress, COVID-19 Stress SyndromeArmsPhysical Activity Training, Mindfulness-based Intervention, Energy Conservation Techniques
3 · Its place in the literature

Who cites it

172 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  7. Validity of objective methods for measuring sedentary behaviour in older adults: a systematic review.The international journal of behavioral nutrition and physical activity · 2018
    Pooled it
  8. A systematic literature review of reviews on techniques for physical activity measurement in adults: a DEDIPAC study.The international journal of behavioral nutrition and physical activity · 2018
    Pooled it
  9. Direct and indirect measurement of physical activity in older adults: a systematic review of the literature.The international journal of behavioral nutrition and physical activity · 2012
    Pooled it
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  14. Effects of Elastic Band Exercise on Functional Fitness and Blood Pressure Response in the Healthy Elderly.International journal of environmental research and public health · 2020
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112 more citing papers are in PubMed but not listed here.

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.

E GormanCentre for Hip Health and Mobility, 7F - 2635 Laurel Street, Vancouver, BC V5Z 1M9 Canada ; Department of Family Practice, University of British Columbia (UBC), 320-5950 University Boulevard, Vancouver, BC V6T1Z3 Canada.
H M HansonCentre for Hip Health and Mobility, 7F - 2635 Laurel Street, Vancouver, BC V5Z 1M9 Canada ; Department of Family Practice, University of British Columbia (UBC), 320-5950 University Boulevard, Vancouver, BC V6T1Z3 Canada.
P H YangCentre for Hip Health and Mobility, 7F - 2635 Laurel Street, Vancouver, BC V5Z 1M9 Canada.
K M KhanCentre for Hip Health and Mobility, 7F - 2635 Laurel Street, Vancouver, BC V5Z 1M9 Canada ; Department of Family Practice, University of British Columbia (UBC), 320-5950 University Boulevard, Vancouver, BC V6T1Z3 Canada ; School of Kinesiology, UBC, 210-6081 University Boulevard, Vancouver, BC V6T1Z3 Canada.
T Liu-AmbroseCentre for Hip Health and Mobility, 7F - 2635 Laurel Street, Vancouver, BC V5Z 1M9 Canada ; Department of Physical Therapy, UBC, 212-2177 Wesbrook Mall, Vancouver, BC V6T1Z3 Canada.
M C AsheCentre for Hip Health and Mobility, 7F - 2635 Laurel Street, Vancouver, BC V5Z 1M9 Canada.

Funding

CIHR 105803-1CIHR 99051-1PHS HHS 105803-1PHS HHS 99051-1
6 · The paper itself

Abstract

Accelerometers objectively monitor physical activity and sedentary patterns and are increasingly used in the research setting. It is important to maintain consistency in data analysis and reporting, therefore, we: (1) systematically identified studies using accelerometry (ActiGraph, Pensacola, FL, USA) to measure moderate-to-vigorous physical activity (MVPA) and sedentary time in older adults, and (2) based on the review findings, we used different cut-points obtained to analyze accelerometry data from a sample of community-dwelling older women. We identified 59 articles with cut-points ranging between 574 and 3,250 counts/min for MVPA and 50 and 500 counts/min for sedentary time. Using these cut-points and data from women (mean age, 70 years), the median MVPA minutes per day ranged between 4 and 80 min while percentage of sedentary time per day ranged between 62 % and 86 %. These data highlight (1) the importance of reporting detailed information on the analysis assumptions and (2) that results can differ greatly depending on analysis parameters.

Indexed as

AccelerometerAnalysis assumptionsMeasurementPhysical activitySedentary behavior

Identifiers

PMID24765212
PMCPMC3990855

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.