Evidence map›Paper›PMID 40665342›Full record

ArticleThe international journal of behavioral nutrition and physical activity2025

Associations between within-day step accumulation pattern and clinical measures of physical function: a change-for-change analysis of longitudinal data in community-dwelling older adults.

Melvyn Hillsdon, Alexander Schoenfelder, Brad Metcalf, Afroditi Stathi, Max J Western, Joss Langford

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Article in The international journal of behavioral nutrition and physical activity, 2025. 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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5 · Who and what money

Authors and funding

6 authors.

Melvyn HillsdonDepartment of Public Health and Sport Sciences, University of Exeter, Exeter, EX1 2LU, UK. m.hillsdon@exeter.ac.uk.
Alexander SchoenfelderUniversity of Exeter, Exeter, EX4 4QJ, UK.
Brad MetcalfDepartment of Public Health and Sport Sciences, University of Exeter, Exeter, EX1 2LU, UK.
Afroditi StathiUniversity of Birmingham, School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
Max J WesternCentre for Motivation and Behaviour change, Department for Health, University of Bath, Bath, BA2 7AY, UK.
Joss LangfordDepartment of Public Health and Sport Sciences, University of Exeter, Exeter, EX1 2LU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile daily step count and stepping pace are linked to various health benefits in older adults, less is known about how the pattern of step accumulation affects physical function. For example, the same step count could be accumulated through clusters of frequent, short bouts (e.g., during house cleaning) or fewer, longer bouts (e.g., walking to and from work). This study aimed to explore whether stepping patterns, and trends in these patterns, were associated with physical function in older adults.

methodsWe analysed accelerometer data from wrist-worn GENEActiv devices, from four time points over 24 months in n = 597 older adults (age ≥65 years, 68% female) participating in the REtirement in ACTion intervention. A step counting algorithm was used to create bouts of stepping (at least 10 steps > 20 steps/minute) before counting the steps in each bout and the average cadence. Total daily steps (20-175 steps/minute), slower-paced steps (20-62 steps/minute; below the median cadence), and faster-paced walking steps (63-175 steps/minute; above the median cadence) were then calculated. We used the frequency of stepping bouts, the time between them (mean and standard deviation) and their burstiness (short bursts of stepping bouts clustered together), to examine the daily patterns of step accumulation. Linear mixed-effects models were used to assess trends in stepping variables and their association with changes in objectively measured physical function (short physical performance battery: SPPB) over the two-year period.

resultsTotal, slower-paced and faster-paced daily steps declined, along with the average number of stepping bouts. The time between stepping bouts increased. All components of burstiness, but not burstiness itself, were associated with changes in physical function, even when faster and slower steps (total steps) were in the same model (fewer stepping bouts = lower SPPB, greater SD = lower SPPB). Mean time between bouts was the strongest independent predictor, whereby a 10-minute increase in time between bouts was associated with a clinically important 0.46 decline in SPPB score (p < 0.001).

conclusionsPreventing increases in the time between stepping bouts could help preserve physical function in older adults. Future intervention trials targeting how bouts of stepping are spread throughout the day, rather than just total steps, may provide a more effective approach to promoting healthy physical functioning in older age.

Indexed as

ExerciseWalkingAccelerometryAgedAged, 80 and overFemaleHumansIndependent LivingLongitudinal StudiesMaleAgeingPhysical functionSteppingWalking

Identifiers

PMID40665342
PMCPMC12261632

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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 Socratic graph.