Evidence map›Paper›PMID 42337742›Full record

ArticleThe international journal of behavioral nutrition and physical activity2026

Mobility measures and waking-day movement behaviour composition among older adults: a compositional data analysis of the McMaster Monitoring My Mobility study.

Shawn Hakimi, Renata Kirkwood, Stuart M Phillips, Rong Zheng, Marla K Beauchamp

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shawn HakimiSchool of Rehabilitation Science, Faculty of Health Science, Institute for Applied Health Sciences, McMaster University, 1400 Main Street West, Hamilton, Ontario, L8S 1C7, Canada.
Renata KirkwoodSchool of Rehabilitation Science, Faculty of Health Science, Institute for Applied Health Sciences, McMaster University, 1400 Main Street West, Hamilton, Ontario, L8S 1C7, Canada.
Stuart M PhillipsDepartment of Kinesiology, Faculty of Science, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1, Canada.
Rong ZhengDepartment of Computing and Software, Faculty of Engineering, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4L7, Canada.
Marla K BeauchampSchool of Rehabilitation Science, Faculty of Health Science, Institute for Applied Health Sciences, McMaster University, 1400 Main Street West, Hamilton, Ontario, L8S 1C7, Canada. beaucm1@mcmaster.ca.

Funding

Canada Research Chairs CRC-2020-00043Government of Ontario Early Researcher Award
6 · The paper itself

Abstract

backgroundMobility is a cornerstone of healthy ageing typically assessed using self-report and performance-based measures. Recent research suggests these measures are poor proxies for real-world mobility. Device-derived measures of real-world mobility reflect the relative proportions of time a person allocates to sedentary behaviour (SB), light-intensity physical activity (LIPA), and moderate-to-vigorous physical activity (MVPA) that together form the waking-day movement behaviour composition. The aim of this study was to examine the associations between commonly used mobility measures and the waking-day movement behaviour composition in older adults.

methodsA cross-sectional analysis of data from over 1200 older adults ≥ 65 years of age from the baseline cohort (2022-2024) of the McMaster Monitoring My Mobility (MacM3) study was conducted. Compositional data analysis was used to examine the associations between 6 self-report and 10 performance-based measures of mobility and multiple components of the waking-day movement behaviour composition and establish differences in movement behaviours according to different levels of mobility. Examples of included measures are the Physical Activity Scale for the Elderly (PASE) and Timed Up and Go (TUG).

resultsData from 1227 older adults (73.6 ± 5.3 years) were analysed. Significant differences in waking-day movement behaviour composition were found across the self-report and performance-based mobility measures. Older adults with lower mobility accumulated more SB and less MVPA throughout the day. For example, those with poorer TUG performance accumulated 34 more minutes/day of SB, and 22 min/day less of MVPA compared to those with better performance. The PASE, 400-meter walk, and fast gait speed tests were the strongest indicators of real-world mobility; however, the effect sizes were small. No measure showed a significant association with LIPA.

conclusionsTraditional self-report and performance-based measures of mobility are associated with the waking-day movement behaviour composition in older adults; however, their ability to explain real-world mobility is limited and varies across measures. The lack of association between any of the measures and LIPA is surprising, given that older adults spend most of their time in this activity intensity. These findings challenge the widespread use of traditional mobility measures to make inferences about real-world mobility.

Indexed as

ExerciseGeriatric AssessmentAccelerometryAgedAged, 80 and overAgingCross-Sectional StudiesData AnalysisFemaleHumansMaleMobility LimitationSedentary BehaviorSelf ReportAgeingAmbulationGeriatricLocomotorPhysical activityPhysical functioningQuality of lifeSedentary behaviourTime-use epidemiology

Identifiers

PMID42337742
PMCPMC13548552

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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.