Evidence map›Paper›PMID 30477509›Full record

SynthesisThe international journal of behavioral nutrition and physical activity2018

Validity of objective methods for measuring sedentary behaviour in older adults: a systematic review.

Kristiann C Heesch, Robert L Hill, Nicolas Aguilar-Farias, Jannique G Z van Uffelen, Toby Pavey

Registry-linked trialAbstract readSystematic ReviewValidation Study
In one paragraph

Synthesis in The international journal of behavioral nutrition and physical activity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06169020 (Design of an Intelligent Wearable to Assess Physical Activity and Health Related Outcomes - the DIWAH Study), which is not on this map. Cited by 55 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 5 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.

NCT06169020 naenrolling by invitationnot on this mapstarted 2023, after this paper: background citation

Design of an Intelligent Wearable to Assess Physical Activity and Health Related Outcomes - the DIWAH Study

TypeinterventionalSponsorLinnaeus UniversityRan2023 to 2027Enrolled50ConditionsHealth PromotionArmsResting and maximal oxygen consumtion, Free living energy expenditure
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors.The international journal of behavioral nutrition and physical activity · 2024
    Trial
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Daily physical activity in older adults across levels of care: the HUNT Trondheim 70 + study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2024
    Article
  20. 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

5 authors.

Kristiann C HeeschInstitute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia. k.heesch@qut.edu.au.ORCID 0000-0003-1931-3683
Robert L HillSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.
Nicolas Aguilar-FariasDepartment of Physical Education, Sports and Recreation, Universidad de La Frontera, Temuco, Chile.
Jannique G Z van UffelenDepartment of Movement Sciences, Physical Activity, Sports and Health Research Group, KU Leuven - University of Leuven, Leuven, Belgium.
Toby PaveyInstitute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe evidence showing the ill health effects of prolonged sedentary behaviour (SB) is growing. Most studies of SB in older adults have relied on self-report measures of SB. However, SB is difficult for older adults to recall and objective measures that combine accelerometry with inclinometry are now available for more accurately assessing SB. The aim of this systematic review was to assess the validity and reliability of these accelerometers for the assessment of SB in older adults.

methodsEMBASE, PubMed and EBSCOhost databases were searched for articles published up to December 13, 2017. Articles were eligible if they: a) described reliability, calibration or validation studies of SB measurement in healthy, community-dwelling individuals, b) were published in English, Portuguese or Spanish, and c) were published or in press as journal articles in peer-reviewed journals.

resultsThe review identified 15 studies in 17 papers. Of the included studies, 11 assessed the ActiGraph accelerometer. Of these, three examined reliability only, seven (in eight papers) examined validity only and one (in two papers) examined both. The strongest evidence from the studies reviewed is from studies that assessed the validity of the ActiGraph. These studies indicate that analysis of the data using 60-s epochs and a vertical magnitude cut-point < 200 cpm or using 30- or 60-s epochs with a machine learning algorithm provides the most valid estimates of SB. Non-wear algorithms of 90+ consecutive zeros is also suggested for the ActiGraph.

conclusionsFew studies have examined the reliability and validity of accelerometers for measuring SB in older adults. Studies to date suggest that the criteria researchers use for classifying an epoch as sedentary instead of as non-wear time (e.g., the non-wear algorithm used) may need to be different for older adults than for younger adults. The required number of hours and days of wear for valid estimates of SB in older adults was not clear from studies to date. More older-adult-specific validation studies of accelerometers are needed, to inform future guidelines on the appropriate criteria to use for analysis of data from different accelerometer brands.

trial registrationPROSPERO ID# CRD42017080754 registered December 12, 2017.

Indexed as

AlgorithmsExerciseSedentary BehaviorAccelerometryActigraphyAgedFemaleHumansMaleMental RecallReproducibility of ResultsSelf ReportWearable Electronic DevicesAccelerometerMeasurementOlder adultsSedentary timeSitting

Identifiers

PMID30477509
PMCPMC6260565

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.