Evidence map›Paper›PMID 39309682›Full record

ArticleAging and health research2024

Are physical activity and everyday mobility independently associated with quality of life at older age?

Jane Elliott, Judith Green

Abstract read
In one paragraph

Article in Aging and health research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Jane ElliottInternational Inequalities Institute, London School of Economics and Political Science, Houghton Street, London, WC2A 2AE, UK.
Judith GreenWellcome Centre for Cultures & Environments of Health, University of Exeter, Exeter, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Physical activity and everyday mobility are concepts that overlap but tend to be located in different disciplinary fields. We used the English Longitudinal Study of Ageing (ELSA) to: identify whether physical activity and everyday mobility are separate constructs at younger (60-69) and/or older (>=70) age bands, and for men and women; derive measures of the two constructs from variables in the ELSA; and assess whether they are independently associated with quality of life (QoL). Methods: We derived composite measures for physical activity and everyday mobility from ELSA variables. 'Physical Activity' combined items recording directly-measured activity for movement (walk-speed) and self-report measures of physical mobility difficulties and amount of vigorous, moderate and mild physical activity undertaken. 'Everyday Mobility' combined self-report responses about activities likely to involve leaving the house. QoL was measured using the 'CASP-19' scale. Using Wave 9 of ELSA (data collection in 2018-2020), we used a factor analysis to explore the constructs, and a regression analysis to examine associations with QoL. Results: The factor analysis confirmed that these were discrete constructs, which explained between them 36% of the variance. This was robust across age bands, and in factor analyses for men and women separately. The regression analysis identified that lower physical activity and everyday mobility are independently associated with lower QoL, when controlling for a range of contextual variables including age. Conclusions: Findings suggest that a social model of QoL at older age should focus on the broader mobility determinants of QoL as well as individual levels of physical activity.

Indexed as

ELSAEveryday mobilityPhysical activityQuality of lifeSocial model

Identifiers

PMID39309682
PMCPMC11413527

What OpenQuestion holds

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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.