Evidence map›Paper›PMID 41343766›Full record

Observational studyJMIR aging2025

Daily-Life Walking Characteristics of Older Adults in Relation to Age, Sex, and Physical Function: the HUNT4 Trondheim 70+ Observational Study.

Karoline Blix Grønvik, Anisoara Paraschiv-Ionescu, Gro Gujord Tangen, Øyvind Salvesen, Jorunn Lægdheim Helbostad, Nina Skjæret-Maroni, Beatrix Vereijken

Abstract readObservational Study
In one paragraph

Observational study in JMIR aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Real-world walking and activity patterns in community-dwelling older adults: a cross-sectional analysis of baseline data from the SMART-AGE trial.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Article
  2. 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

7 authors.

Karoline Blix GrønvikDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Edvard Griegs Gate 8, Trondheim, 7030, Norway, 47 73592020.ORCID http://orcid.org/0009-0008-4594-0000
Anisoara Paraschiv-IonescuSignal Processing Laboratory 5, Department of Electrical and Electronic Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-2341-4383
Gro Gujord TangenDepartment of Geriatric Medicine, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-9417-2799
Øyvind SalvesenDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.ORCID http://orcid.org/0000-0002-6145-8109
Jorunn Lægdheim HelbostadDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Edvard Griegs Gate 8, Trondheim, 7030, Norway, 47 73592020.ORCID http://orcid.org/0000-0003-0214-9290
Nina Skjæret-MaroniDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Edvard Griegs Gate 8, Trondheim, 7030, Norway, 47 73592020.ORCID http://orcid.org/0000-0001-8959-8878
Beatrix VereijkenDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Edvard Griegs Gate 8, Trondheim, 7030, Norway, 47 73592020.ORCID http://orcid.org/0000-0002-2231-8138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Knowledge about how older adults walk is crucial for the effective prevention and treatment of various mobility issues as well as treatment evaluation, but it is currently largely limited to laboratory-based measurements. Although laboratory-based data provide relevant information about what older adults can do under standardized conditions, they do not provide insight into how they actually walk in their daily life, a gap that needs to be addressed urgently. Objective: The objective of this study was to describe how older adults walk in daily life, in relation to age, sex, and level of physical function, using wearable sensor data from a large sample of older adults with a wide range of age and function from the HUNT4 Trondheim 70+ study. Methods: The current study is based on 1-week accelerometer data (Axivity AX3) from 1289 older adults (mean age 77.41, SD 6.06 years; age range 70-105 years; n=705, 54.7% women). Physical function was assessed using the Short Physical Performance Battery (SPPB). To investigate the effect of age and SPPB score on gait metrics (daily number of steps, 95th percentile speed, mode speed, 95th percentile cadence, mode cadence, and maximum walking bout [WB] distance) for women and men, univariate gamma regression models with log link were used for each outcome measure, with age and SPPB score in separate models. Sex differences were investigated using Mann-Whitney U tests. Results: Older adults showed a large variation in how and how much they walked in daily life across age, sex, and physical function, particularly younger participants and those with better physical function. Most gait metrics decreased at an increasing rate with higher age, with men maintaining their levels up to higher ages than women. Poorer physical function led to an exponential or close-to-linear decrease in all gait metrics apart from habitual cadence, which remained stable up to a high age. Women had a lower daily number of steps, gait speed, and maximum distance but higher cadence than men (P<.001 for all). On average, 63% of all WBs lasted <10 seconds, corresponding to a median accumulated time of 99 (IQR 66-128) minutes. For WBs lasting 10 to 30 seconds, 30 to 60 seconds, and >60 seconds, the median accumulated time was 105 (IQR 65-154) minutes, 31 (IQR 18-47) minutes, and 113 (IQR 37-219) minutes, respectively. Conclusions: Daily-life walking performance was affected more by functional ability than by age itself, except for the highest ages, and differed significantly between sexes. Although most WBs were very short, the total accumulated walking time in WBs shorter than 30 seconds was longer than that in longer WBs. Future research can build upon our findings by considering both the impact of short WBs and relevant group and sex differences when implementing daily-life mobility assessment in both clinical studies and patient follow-up.

Indexed as

Activities of Daily LivingAgingPhysical Functional PerformanceWalkingAccelerometryAgedAged, 80 and overAge FactorsFemaleGaitGeriatric AssessmentHumansMaleSex Factorsdaily lifegait analysisHUNTolder adultsphysical functionreal-worldShort Physical Performance BatterySPPBTrøndelag Health Studywalking

Identifiers

PMID41343766
PMCPMC12677731

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.