Evidence map›Paper›PMID 25785929›Full record

ArticleMedicine and science in sports and exercise2015

Utilization and Harmonization of Adult Accelerometry Data: Review and Expert Consensus.

Katrien Wijndaele, Kate Westgate, Samantha K Stephens, Steven N Blair, Fiona C Bull, Sebastien F M Chastin, David W Dunstan, Ulf Ekelund, Dale W Esliger, Patty S Freedson and 9 more

Registry-linked trialAbstract readConsensus Statement
PubMed Full text at PMC Publisher
In one paragraph

Article in Medicine and science in sports and exercise, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04796532 (Home Based or Traditional Class HIIT in Overweight Women), which is not on this map. Cited by 145 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 7 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.

NCT04796532 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Home Based or Traditional Class HIIT in Overweight Women: Effects on Physical Activity, Body Composition and Cardio Respiratory Fitness. A 3-arm Randomized Control Trial.

TypeinterventionalSponsorUniversity of ÉvoraRan2021 to 2022Enrolled90ConditionsOverweight or ObesityArmsHome based HIIT, Traditional HIIT
3 · Its place in the literature

Who cites it

145 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Comparing national device-based physical activity surveillance systems: a systematic review.The international journal of behavioral nutrition and physical activity · 2024
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85 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

19 authors.

Katrien Wijndaele1MRC Epidemiology Unit, University of Cambridge, Cambridge, UNITED KINGDOM; 2School of Public Health, University of Queensland, Queensland, AUSTRALIA; 3Department of Exercise Science, University of South Carolina, Columbia, SC; 4Schools of Earth and Environment and Sports Science Exercise and Health, University of Western Australia, Western Australia, AUSTRALIA; 5School of Health and Life Science, Glasgow Caledonian University, Scotland, UNITED KINGDOM; 6Baker IDI Heart and Diabetes Institute, Melbourne, AUSTRALIA; 7Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, NORWAY; 8National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire, UNITED KINGDOM; 9School of Health Sciences, University of South Australia, South Australia, AUSTRALIA; 10Department of Kinesiology, University of Massachusetts, Amherst, MA; 11School of Health Sciences, University of Salford, Manchester, UNITED KINGDOM; 12Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD; 13The NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, Leicestershire, UNITED KINGDOM; 14Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute; Department of Pediatrics, University of Ottawa, Ottawa, CANADA; and 15Risk Factor Assessment Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD.
Kate Westgate
Samantha K Stephens
Steven N Blair
Fiona C Bull
Sebastien F M Chastin
David W Dunstan
Ulf Ekelund
Dale W Esliger
Patty S Freedson
Malcolm H Granat
Charles E Matthews
Neville Owen
Alex V Rowlands
Lauren B Sherar
Mark S Tremblay
Richard P Troiano
Søren Brage
Genevieve N Healy

Funding

Physical Activity, Energy Balance, and CancerZIACP010197 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBANES, DEMETRIUS · 2009 to 2025
$17.5M
DOSE-RESPONSE TO EXERCISE IN WOMEN AGED 45-75 YEARSR01HL066262 · NHLBI · COOPER INSTITUTE · PI BLAIR, STEVEN N. · 2001 to 2005
$3.6M
IMPACT OF PHYSICAL FITNESS &EXERCISE ON HEALTHR01AG006945 · NIA · COOPER INSTITUTE · PI BLAIR, STEVEN N. · 1986 to 2001
$1.1M
PHYSICAL ACTIVITY FOR HIGH-RISK SEDENTARY ADULTSN01HC045135 · HC · COOPER INSTITUTE · PI BLAIR, STEVEN N. · 1994 to 1999
–
British Heart Foundation FS/12/58/29709Medical Research Council G0701877Medical Research Council MC_U106179473Medical Research Council MC_UU_12015/3NHLBI NIH HHS N01 HC045135NHLBI NIH HHS R01 HL066262NIA NIH HHS R01 AG006945
6 · The paper itself

Abstract

purposeThis study aimed to describe the scope of accelerometry data collected internationally in adults and to obtain a consensus from measurement experts regarding the optimal strategies to harmonize international accelerometry data.

methodsIn March 2014, a comprehensive review was undertaken to identify studies that collected accelerometry data in adults (sample size, n ≥ 400). In addition, 20 physical activity experts were invited to participate in a two-phase Delphi process to obtain consensus on the following: unique research opportunities available with such data, additional data required to address these opportunities, strategies for enabling comparisons between studies/countries, requirements for implementing/progressing such strategies, and value of a global repository of accelerometry data.

resultsThe review identified accelerometry data from more than 275,000 adults from 76 studies across 36 countries. Consensus was achieved after two rounds of the Delphi process; 18 experts participated in one or both rounds. The key opportunities highlighted were the ability for cross-country/cross-population comparisons and the analytic options available with the larger heterogeneity and greater statistical power. Basic sociodemographic and anthropometric data were considered a prerequisite for this. Disclosure of monitor specifications and protocols for data collection and processing were deemed essential to enable comparison and data harmonization. There was strong consensus that standardization of data collection, processing, and analytical procedures was needed. To implement these strategies, communication and consensus among researchers, development of an online infrastructure, and methodological comparison work were required. There was consensus that a global accelerometry data repository would be beneficial and worthwhile.

conclusionsThis foundational resource can lead to implementation of key priority areas and identification of future directions in physical activity epidemiology, population monitoring, and burden of disease estimates.

Indexed as

Motor ActivityAccelerometryAdultData CollectionDelphi TechniqueHumansResearchSedentary Behavior

Identifiers

PMID25785929
PMCPMC4731236

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.